Overview

Dataset statistics

Number of variables141
Number of observations1276
Missing cells58433
Missing cells (%)32.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory1.1 KiB

Variable types

Numeric5
Categorical83
Boolean53

Alerts

Start_/_Stop_Button has constant value "True" Constant
Aux-in_Compatibility has constant value "True" Constant
Average_Fuel_Consumption has constant value "True" Constant
Bluetooth has constant value "True" Constant
CD_/_MP3_/_DVD_Player has constant value "True" Constant
Central_Locking has constant value "True" Constant
Child_Safety_Locks has constant value "True" Constant
Distance_to_Empty has constant value "True" Constant
Engine_Malfunction_Light has constant value "True" Constant
FM_Radio has constant value "True" Constant
Low_Fuel_Warning has constant value "True" Constant
Multifunction_Display has constant value "True" Constant
Auto-Dimming_Rear-View_Mirror has constant value "True" Constant
Hill_Assist has constant value "True" Constant
Gear_Indicator has constant value "True" Constant
3_Point_Seat-Belt_in_Middle_Rear_Seat has constant value "True" Constant
Ambient_Lightning has constant value "True" Constant
Cargo/Boot_Lights has constant value "True" Constant
Engine_Immobilizer has constant value "True" Constant
High_Speed_Alert_System has constant value "True" Constant
Lane_Watch_Camera/_Side_Mirror_Camera has constant value "True" Constant
Passenger_Side_Seat-Belt_Reminder has constant value "True" Constant
Seat_Back_Pockets has constant value "True" Constant
Voice_Recognition has constant value "True" Constant
Walk_Away_Auto_Car_Lock has constant value "True" Constant
ABS_(Anti-lock_Braking_System) has constant value "True" Constant
Door_Ajar_Warning has constant value "True" Constant
EBD_(Electronic_Brake-force_Distribution) has constant value "True" Constant
Fasten_Seat_Belt_Warning has constant value "True" Constant
Gear_Shift_Reminder has constant value "True" Constant
Key_Off_Reminder has constant value "True" Constant
USB_Compatibility has constant value "True" Constant
Android_Auto has constant value "True" Constant
Apple_CarPlay has constant value "True" Constant
Cigarette_Lighter has constant value "True" Constant
Average_Speed has constant value "True" Constant
EBA_(Electronic_Brake_Assist) has constant value "True" Constant
Navigation_System has constant value "True" Constant
Second_Row_AC_Vents has constant value "True" Constant
Tyre_Pressure_Monitoring_System has constant value "True" Constant
iPod_Compatibility has constant value "True" Constant
ESP_(Electronic_Stability_Program) has constant value "True" Constant
Cooled_Glove_Box has constant value "True" Constant
Turbocharger has constant value "True" Constant
ISOFIX_(Child-Seat_Mount) has constant value "True" Constant
Rain_Sensing_Wipers has constant value "True" Constant
Paddle_Shifters has constant value "True" Constant
Leather_Wrapped_Steering has constant value "True" Constant
Automatic_Headlamps has constant value "True" Constant
ASR_/_Traction_Control has constant value "True" Constant
Cruise_Control has constant value "True" Constant
Heads-Up_Display has constant value "True" Constant
Welcome_Lights has constant value "True" Constant
Model has a high cardinality: 263 distinct values High cardinality
Variant has a high cardinality: 1064 distinct values High cardinality
Ex-Showroom_Price has a high cardinality: 1179 distinct values High cardinality
Displacement has a high cardinality: 129 distinct values High cardinality
Fuel_Tank_Capacity has a high cardinality: 63 distinct values High cardinality
Height has a high cardinality: 211 distinct values High cardinality
Length has a high cardinality: 228 distinct values High cardinality
Width has a high cardinality: 182 distinct values High cardinality
City_Mileage has a high cardinality: 164 distinct values High cardinality
Highway_Mileage has a high cardinality: 136 distinct values High cardinality
ARAI_Certified_Mileage has a high cardinality: 281 distinct values High cardinality
Kerb_Weight has a high cardinality: 336 distinct values High cardinality
Ground_Clearance has a high cardinality: 73 distinct values High cardinality
Front_Suspension has a high cardinality: 140 distinct values High cardinality
Rear_Suspension has a high cardinality: 173 distinct values High cardinality
Front_Track has a high cardinality: 99 distinct values High cardinality
Rear_Track has a high cardinality: 105 distinct values High cardinality
Front_Tyre_&_Rim has a high cardinality: 234 distinct values High cardinality
Rear_Tyre_&_Rim has a high cardinality: 241 distinct values High cardinality
Power has a high cardinality: 372 distinct values High cardinality
Torque has a high cardinality: 342 distinct values High cardinality
Wheelbase has a high cardinality: 153 distinct values High cardinality
Wheels_Size has a high cardinality: 209 distinct values High cardinality
Boot_Space has a high cardinality: 138 distinct values High cardinality
Minimum_Turning_Radius has a high cardinality: 61 distinct values High cardinality
Gross_Vehicle_Weight has a high cardinality: 172 distinct values High cardinality
Airbags has a high cardinality: 207 distinct values High cardinality
Compression_Ratio has a high cardinality: 66 distinct values High cardinality
Cylinders is highly correlated with Number_of_AirbagsHigh correlation
Number_of_Airbags is highly correlated with CylindersHigh correlation
Cylinders is highly correlated with DoorsHigh correlation
Doors is highly correlated with Cylinders and 1 other fieldsHigh correlation
Seating_Capacity is highly correlated with DoorsHigh correlation
Cylinders is highly correlated with Number_of_AirbagsHigh correlation
Number_of_Airbags is highly correlated with CylindersHigh correlation
Unnamed: 0 is highly correlated with Make and 33 other fieldsHigh correlation
Make is highly correlated with Unnamed: 0 and 61 other fieldsHigh correlation
Cylinders is highly correlated with Unnamed: 0 and 29 other fieldsHigh correlation
Valves_Per_Cylinder is highly correlated with Make and 11 other fieldsHigh correlation
Drivetrain is highly correlated with Unnamed: 0 and 30 other fieldsHigh correlation
Cylinder_Configuration is highly correlated with Make and 26 other fieldsHigh correlation
Emission_Norm is highly correlated with Make and 12 other fieldsHigh correlation
Engine_Location is highly correlated with Make and 20 other fieldsHigh correlation
Fuel_System is highly correlated with Make and 6 other fieldsHigh correlation
Fuel_Tank_Capacity is highly correlated with Unnamed: 0 and 59 other fieldsHigh correlation
Fuel_Type is highly correlated with Make and 12 other fieldsHigh correlation
Body_Type is highly correlated with Unnamed: 0 and 31 other fieldsHigh correlation
Doors is highly correlated with Make and 22 other fieldsHigh correlation
ARAI_Certified_Mileage_for_CNG is highly correlated with Unnamed: 0 and 48 other fieldsHigh correlation
Gears is highly correlated with Unnamed: 0 and 32 other fieldsHigh correlation
Ground_Clearance is highly correlated with Unnamed: 0 and 57 other fieldsHigh correlation
Front_Brakes is highly correlated with Make and 10 other fieldsHigh correlation
Rear_Brakes is highly correlated with Unnamed: 0 and 24 other fieldsHigh correlation
Front_Track is highly correlated with Unnamed: 0 and 59 other fieldsHigh correlation
Power_Steering is highly correlated with Make and 20 other fieldsHigh correlation
Power_Windows is highly correlated with Make and 8 other fieldsHigh correlation
Power_Seats is highly correlated with Make and 10 other fieldsHigh correlation
Keyless_Entry is highly correlated with Unnamed: 0 and 19 other fieldsHigh correlation
Odometer is highly correlated with Make and 18 other fieldsHigh correlation
Speedometer is highly correlated with Make and 13 other fieldsHigh correlation
Tachometer is highly correlated with Make and 16 other fieldsHigh correlation
Tripmeter is highly correlated with Make and 11 other fieldsHigh correlation
Seating_Capacity is highly correlated with Make and 20 other fieldsHigh correlation
Seats_Material is highly correlated with Unnamed: 0 and 27 other fieldsHigh correlation
Type is highly correlated with Unnamed: 0 and 16 other fieldsHigh correlation
12v_Power_Outlet is highly correlated with Unnamed: 0 and 13 other fieldsHigh correlation
Audiosystem is highly correlated with Make and 21 other fieldsHigh correlation
Basic_Warranty is highly correlated with Unnamed: 0 and 58 other fieldsHigh correlation
Boot-lid_Opener is highly correlated with Make and 18 other fieldsHigh correlation
Clock is highly correlated with Make and 13 other fieldsHigh correlation
Cup_Holders is highly correlated with Make and 23 other fieldsHigh correlation
Door_Pockets is highly correlated with Make and 16 other fieldsHigh correlation
Extended_Warranty is highly correlated with Unnamed: 0 and 51 other fieldsHigh correlation
Fuel-lid_Opener is highly correlated with Make and 27 other fieldsHigh correlation
Fuel_Gauge is highly correlated with Make and 16 other fieldsHigh correlation
Handbrake is highly correlated with Unnamed: 0 and 28 other fieldsHigh correlation
Instrument_Console is highly correlated with Make and 15 other fieldsHigh correlation
Minimum_Turning_Radius is highly correlated with Unnamed: 0 and 58 other fieldsHigh correlation
Sun_Visor is highly correlated with Make and 7 other fieldsHigh correlation
Third_Row_AC_Vents is highly correlated with Unnamed: 0 and 13 other fieldsHigh correlation
Ventilation_System is highly correlated with Unnamed: 0 and 31 other fieldsHigh correlation
Drive_Modes is highly correlated with Unnamed: 0 and 47 other fieldsHigh correlation
Headlight_Reminder is highly correlated with Gears and 2 other fieldsHigh correlation
Adjustable_Headrests is highly correlated with Make and 12 other fieldsHigh correlation
Number_of_Airbags is highly correlated with Unnamed: 0 and 28 other fieldsHigh correlation
Compression_Ratio is highly correlated with Unnamed: 0 and 57 other fieldsHigh correlation
Adjustable_Steering_Column is highly correlated with Unnamed: 0 and 23 other fieldsHigh correlation
Other_Specs is highly correlated with Unnamed: 0 and 32 other fieldsHigh correlation
Other_specs is highly correlated with Unnamed: 0 and 30 other fieldsHigh correlation
Parking_Assistance is highly correlated with Unnamed: 0 and 25 other fieldsHigh correlation
Infotainment_Screen is highly correlated with ARAI_Certified_Mileage_for_CNG and 6 other fieldsHigh correlation
Multifunction_Steering_Wheel is highly correlated with Make and 12 other fieldsHigh correlation
Seat_Height_Adjustment is highly correlated with Unnamed: 0 and 28 other fieldsHigh correlation
Rear_Center_Armrest is highly correlated with Make and 11 other fieldsHigh correlation
Recommended_Tyre_Pressure is highly correlated with Unnamed: 0 and 11 other fieldsHigh correlation
Heated_Seats is highly correlated with Unnamed: 0 and 20 other fieldsHigh correlation
Engine_Type is highly correlated with Unnamed: 0 and 46 other fieldsHigh correlation
USB_Ports is highly correlated with Unnamed: 0 and 28 other fieldsHigh correlation
Battery is highly correlated with Unnamed: 0 and 33 other fieldsHigh correlation
Electric_Range is highly correlated with Unnamed: 0 and 46 other fieldsHigh correlation
Make has 75 (5.9%) missing values Missing
Cylinders has 66 (5.2%) missing values Missing
Valves_Per_Cylinder has 102 (8.0%) missing values Missing
Cylinder_Configuration has 13 (1.0%) missing values Missing
Engine_Location has 43 (3.4%) missing values Missing
Fuel_Tank_Capacity has 69 (5.4%) missing values Missing
City_Mileage has 555 (43.5%) missing values Missing
Highway_Mileage has 800 (62.7%) missing values Missing
ARAI_Certified_Mileage has 114 (8.9%) missing values Missing
ARAI_Certified_Mileage_for_CNG has 1249 (97.9%) missing values Missing
Kerb_Weight has 365 (28.6%) missing values Missing
Gears has 105 (8.2%) missing values Missing
Ground_Clearance has 289 (22.6%) missing values Missing
Front_Brakes has 25 (2.0%) missing values Missing
Rear_Brakes has 25 (2.0%) missing values Missing
Front_Suspension has 59 (4.6%) missing values Missing
Rear_Suspension has 46 (3.6%) missing values Missing
Front_Track has 667 (52.3%) missing values Missing
Rear_Track has 676 (53.0%) missing values Missing
Front_Tyre_&_Rim has 49 (3.8%) missing values Missing
Rear_Tyre_&_Rim has 48 (3.8%) missing values Missing
Power_Steering has 57 (4.5%) missing values Missing
Power_Windows has 97 (7.6%) missing values Missing
Power_Seats has 893 (70.0%) missing values Missing
Keyless_Entry has 274 (21.5%) missing values Missing
Odometer has 43 (3.4%) missing values Missing
Speedometer has 45 (3.5%) missing values Missing
Tachometer has 13 (1.0%) missing values Missing
Tripmeter has 60 (4.7%) missing values Missing
Wheelbase has 20 (1.6%) missing values Missing
Wheels_Size has 56 (4.4%) missing values Missing
Start_/_Stop_Button has 678 (53.1%) missing values Missing
12v_Power_Outlet has 154 (12.1%) missing values Missing
Audiosystem has 44 (3.4%) missing values Missing
Aux-in_Compatibility has 284 (22.3%) missing values Missing
Average_Fuel_Consumption has 345 (27.0%) missing values Missing
Basic_Warranty has 440 (34.5%) missing values Missing
Bluetooth has 292 (22.9%) missing values Missing
Boot-lid_Opener has 14 (1.1%) missing values Missing
Boot_Space has 249 (19.5%) missing values Missing
CD_/_MP3_/_DVD_Player has 309 (24.2%) missing values Missing
Central_Locking has 149 (11.7%) missing values Missing
Child_Safety_Locks has 75 (5.9%) missing values Missing
Clock has 134 (10.5%) missing values Missing
Cup_Holders has 41 (3.2%) missing values Missing
Distance_to_Empty has 243 (19.0%) missing values Missing
Door_Pockets has 117 (9.2%) missing values Missing
Engine_Malfunction_Light has 117 (9.2%) missing values Missing
Extended_Warranty has 661 (51.8%) missing values Missing
FM_Radio has 249 (19.5%) missing values Missing
Fuel-lid_Opener has 14 (1.1%) missing values Missing
Fuel_Gauge has 39 (3.1%) missing values Missing
Handbrake has 57 (4.5%) missing values Missing
Instrument_Console has 14 (1.1%) missing values Missing
Low_Fuel_Warning has 36 (2.8%) missing values Missing
Minimum_Turning_Radius has 381 (29.9%) missing values Missing
Multifunction_Display has 89 (7.0%) missing values Missing
Sun_Visor has 62 (4.9%) missing values Missing
Third_Row_AC_Vents has 366 (28.7%) missing values Missing
Ventilation_System has 35 (2.7%) missing values Missing
Auto-Dimming_Rear-View_Mirror has 620 (48.6%) missing values Missing
Hill_Assist has 796 (62.4%) missing values Missing
Gear_Indicator has 499 (39.1%) missing values Missing
3_Point_Seat-Belt_in_Middle_Rear_Seat has 1225 (96.0%) missing values Missing
Ambient_Lightning has 1220 (95.6%) missing values Missing
Cargo/Boot_Lights has 1155 (90.5%) missing values Missing
Drive_Modes has 1081 (84.7%) missing values Missing
Engine_Immobilizer has 60 (4.7%) missing values Missing
High_Speed_Alert_System has 1068 (83.7%) missing values Missing
Lane_Watch_Camera/_Side_Mirror_Camera has 1210 (94.8%) missing values Missing
Passenger_Side_Seat-Belt_Reminder has 1105 (86.6%) missing values Missing
Seat_Back_Pockets has 443 (34.7%) missing values Missing
Voice_Recognition has 1144 (89.7%) missing values Missing
Walk_Away_Auto_Car_Lock has 1173 (91.9%) missing values Missing
ABS_(Anti-lock_Braking_System) has 132 (10.3%) missing values Missing
Headlight_Reminder has 258 (20.2%) missing values Missing
Adjustable_Headrests has 250 (19.6%) missing values Missing
Gross_Vehicle_Weight has 595 (46.6%) missing values Missing
Airbags has 132 (10.3%) missing values Missing
Door_Ajar_Warning has 143 (11.2%) missing values Missing
EBD_(Electronic_Brake-force_Distribution) has 201 (15.8%) missing values Missing
Fasten_Seat_Belt_Warning has 190 (14.9%) missing values Missing
Gear_Shift_Reminder has 543 (42.6%) missing values Missing
Number_of_Airbags has 135 (10.6%) missing values Missing
Compression_Ratio has 917 (71.9%) missing values Missing
Adjustable_Steering_Column has 191 (15.0%) missing values Missing
Other_Specs has 1266 (99.2%) missing values Missing
Other_specs has 1213 (95.1%) missing values Missing
Parking_Assistance has 290 (22.7%) missing values Missing
Key_Off_Reminder has 340 (26.6%) missing values Missing
USB_Compatibility has 267 (20.9%) missing values Missing
Android_Auto has 1103 (86.4%) missing values Missing
Apple_CarPlay has 1103 (86.4%) missing values Missing
Cigarette_Lighter has 682 (53.4%) missing values Missing
Infotainment_Screen has 462 (36.2%) missing values Missing
Multifunction_Steering_Wheel has 351 (27.5%) missing values Missing
Average_Speed has 512 (40.1%) missing values Missing
EBA_(Electronic_Brake_Assist) has 690 (54.1%) missing values Missing
Seat_Height_Adjustment has 326 (25.5%) missing values Missing
Navigation_System has 593 (46.5%) missing values Missing
Second_Row_AC_Vents has 602 (47.2%) missing values Missing
Tyre_Pressure_Monitoring_System has 936 (73.4%) missing values Missing
Rear_Center_Armrest has 559 (43.8%) missing values Missing
iPod_Compatibility has 663 (52.0%) missing values Missing
ESP_(Electronic_Stability_Program) has 779 (61.1%) missing values Missing
Cooled_Glove_Box has 645 (50.5%) missing values Missing
Recommended_Tyre_Pressure has 1266 (99.2%) missing values Missing
Heated_Seats has 1010 (79.2%) missing values Missing
Turbocharger has 618 (48.4%) missing values Missing
ISOFIX_(Child-Seat_Mount) has 666 (52.2%) missing values Missing
Rain_Sensing_Wipers has 798 (62.5%) missing values Missing
Paddle_Shifters has 972 (76.2%) missing values Missing
Leather_Wrapped_Steering has 689 (54.0%) missing values Missing
Automatic_Headlamps has 774 (60.7%) missing values Missing
Engine_Type has 1242 (97.3%) missing values Missing
ASR_/_Traction_Control has 834 (65.4%) missing values Missing
Cruise_Control has 727 (57.0%) missing values Missing
USB_Ports has 1247 (97.7%) missing values Missing
Heads-Up_Display has 1225 (96.0%) missing values Missing
Welcome_Lights has 1207 (94.6%) missing values Missing
Battery has 1263 (99.0%) missing values Missing
Electric_Range has 1259 (98.7%) missing values Missing
Unnamed: 0 is uniformly distributed Uniform
Variant is uniformly distributed Uniform
Ex-Showroom_Price is uniformly distributed Uniform
Unnamed: 0 has unique values Unique

Reproduction

Analysis started2022-05-07 12:59:36.927970
Analysis finished2022-05-07 13:00:58.365046
Duration1 minute and 21.44 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

Unnamed: 0
Real number (ℝ≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct1276
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean637.5
Minimum0
Maximum1275
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2022-05-07T18:30:58.787382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile63.75
Q1318.75
median637.5
Q3956.25
95-th percentile1211.25
Maximum1275
Range1275
Interquartile range (IQR)637.5

Descriptive statistics

Standard deviation368.493781
Coefficient of variation (CV)0.5780294605
Kurtosis-1.2
Mean637.5
Median Absolute Deviation (MAD)319
Skewness0
Sum813450
Variance135787.6667
MonotonicityStrictly increasing
2022-05-07T18:30:59.193540image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01
 
0.1%
8481
 
0.1%
8551
 
0.1%
8541
 
0.1%
8531
 
0.1%
8521
 
0.1%
8511
 
0.1%
8501
 
0.1%
8491
 
0.1%
8471
 
0.1%
Other values (1266)1266
99.2%
ValueCountFrequency (%)
01
0.1%
11
0.1%
21
0.1%
31
0.1%
41
0.1%
51
0.1%
61
0.1%
71
0.1%
81
0.1%
91
0.1%
ValueCountFrequency (%)
12751
0.1%
12741
0.1%
12731
0.1%
12721
0.1%
12711
0.1%
12701
0.1%
12691
0.1%
12681
0.1%
12671
0.1%
12661
0.1%

Make
Categorical

HIGH CORRELATION
MISSING

Distinct39
Distinct (%)3.2%
Missing75
Missing (%)5.9%
Memory size10.1 KiB
Maruti Suzuki
149 
Hyundai
130 
Mahindra
119 
Tata
100 
Toyota
82 
Other values (34)
621 

Length

Max length16
Median length12
Mean length7.09408826
Min length2

Characters and Unicode

Total characters8520
Distinct characters41
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowTata
2nd rowTata
3rd rowTata
4th rowTata
5th rowTata

Common Values

ValueCountFrequency (%)
Maruti Suzuki149
 
11.7%
Hyundai130
 
10.2%
Mahindra119
 
9.3%
Tata100
 
7.8%
Toyota82
 
6.4%
Honda64
 
5.0%
Skoda43
 
3.4%
Ford43
 
3.4%
Bmw37
 
2.9%
Renault36
 
2.8%
Other values (29)398
31.2%
(Missing)75
 
5.9%

Length

2022-05-07T18:31:00.010145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
maruti163
 
11.3%
suzuki163
 
11.3%
hyundai130
 
9.0%
mahindra119
 
8.2%
tata100
 
6.9%
toyota82
 
5.7%
honda64
 
4.4%
rover64
 
4.4%
skoda43
 
3.0%
ford43
 
3.0%
Other values (31)474
32.8%

Most occurring characters

ValueCountFrequency (%)
a1207
14.2%
i774
 
9.1%
u752
 
8.8%
n499
 
5.9%
r492
 
5.8%
o484
 
5.7%
d467
 
5.5%
t451
 
5.3%
M324
 
3.8%
e261
 
3.1%
Other values (31)2809
33.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6831
80.2%
Uppercase Letter1445
 
17.0%
Space Separator244
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a1207
17.7%
i774
11.3%
u752
11.0%
n499
7.3%
r492
7.2%
o484
7.1%
d467
 
6.8%
t451
 
6.6%
e261
 
3.8%
k240
 
3.5%
Other values (14)1204
17.6%
Uppercase Letter
ValueCountFrequency (%)
M324
22.4%
S206
14.3%
H194
13.4%
T182
12.6%
R114
 
7.9%
F80
 
5.5%
L60
 
4.2%
V52
 
3.6%
J50
 
3.5%
B47
 
3.3%
Other values (6)136
9.4%
Space Separator
ValueCountFrequency (%)
244
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8276
97.1%
Common244
 
2.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a1207
14.6%
i774
 
9.4%
u752
 
9.1%
n499
 
6.0%
r492
 
5.9%
o484
 
5.8%
d467
 
5.6%
t451
 
5.4%
M324
 
3.9%
e261
 
3.2%
Other values (30)2565
31.0%
Common
ValueCountFrequency (%)
244
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a1207
14.2%
i774
 
9.1%
u752
 
8.8%
n499
 
5.9%
r492
 
5.8%
o484
 
5.7%
d467
 
5.5%
t451
 
5.3%
M324
 
3.8%
e261
 
3.1%
Other values (31)2809
33.0%

Model
Categorical

HIGH CARDINALITY

Distinct263
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
Nexon
 
24
Kuv100 Nxt
 
22
Compass
 
21
Xuv500
 
21
Amaze
 
20
Other values (258)
1168 

Length

Max length33
Median length26
Mean length7.568965517
Min length2

Characters and Unicode

Total characters9658
Distinct characters67
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)5.3%

Sample

1st rowNano Genx
2nd rowNano Genx
3rd rowNano Genx
4th rowNano Genx
5th rowNano Genx

Common Values

ValueCountFrequency (%)
Nexon24
 
1.9%
Kuv100 Nxt22
 
1.7%
Compass21
 
1.6%
Xuv50021
 
1.6%
Amaze20
 
1.6%
Creta18
 
1.4%
Seltos16
 
1.3%
Innova Crysta16
 
1.3%
Ciaz14
 
1.1%
Swift14
 
1.1%
Other values (253)1090
85.4%

Length

2022-05-07T18:31:00.403294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
mercedes-benz57
 
3.4%
etios30
 
1.8%
nexon27
 
1.6%
range27
 
1.6%
grand26
 
1.5%
compass23
 
1.4%
nxt22
 
1.3%
i1022
 
1.3%
kuv10022
 
1.3%
xuv50021
 
1.2%
Other values (279)1404
83.5%

Most occurring characters

ValueCountFrequency (%)
e897
 
9.3%
r695
 
7.2%
o671
 
6.9%
a656
 
6.8%
s519
 
5.4%
i460
 
4.8%
t459
 
4.8%
n450
 
4.7%
405
 
4.2%
l302
 
3.1%
Other values (57)4144
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6778
70.2%
Uppercase Letter1824
 
18.9%
Decimal Number464
 
4.8%
Space Separator405
 
4.2%
Dash Punctuation174
 
1.8%
Math Symbol9
 
0.1%
Open Punctuation2
 
< 0.1%
Close Punctuation2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e897
13.2%
r695
10.3%
o671
9.9%
a656
9.7%
s519
 
7.7%
i460
 
6.8%
t459
 
6.8%
n450
 
6.6%
l302
 
4.5%
u241
 
3.6%
Other values (16)1428
21.1%
Uppercase Letter
ValueCountFrequency (%)
C247
13.5%
S137
 
7.5%
A124
 
6.8%
E123
 
6.7%
B113
 
6.2%
G105
 
5.8%
X103
 
5.6%
M88
 
4.8%
P86
 
4.7%
V85
 
4.7%
Other values (16)613
33.6%
Decimal Number
ValueCountFrequency (%)
0211
45.5%
164
 
13.8%
546
 
9.9%
340
 
8.6%
426
 
5.6%
220
 
4.3%
718
 
3.9%
616
 
3.4%
814
 
3.0%
99
 
1.9%
Space Separator
ValueCountFrequency (%)
405
100.0%
Dash Punctuation
ValueCountFrequency (%)
-174
100.0%
Math Symbol
ValueCountFrequency (%)
+9
100.0%
Open Punctuation
ValueCountFrequency (%)
(2
100.0%
Close Punctuation
ValueCountFrequency (%)
)2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8602
89.1%
Common1056
 
10.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e897
 
10.4%
r695
 
8.1%
o671
 
7.8%
a656
 
7.6%
s519
 
6.0%
i460
 
5.3%
t459
 
5.3%
n450
 
5.2%
l302
 
3.5%
C247
 
2.9%
Other values (42)3246
37.7%
Common
ValueCountFrequency (%)
405
38.4%
0211
20.0%
-174
16.5%
164
 
6.1%
546
 
4.4%
340
 
3.8%
426
 
2.5%
220
 
1.9%
718
 
1.7%
616
 
1.5%
Other values (5)36
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII9658
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e897
 
9.3%
r695
 
7.2%
o671
 
6.9%
a656
 
6.8%
s519
 
5.4%
i460
 
4.8%
t459
 
4.8%
n450
 
4.7%
405
 
4.2%
l302
 
3.1%
Other values (57)4144
42.9%

Variant
Categorical

HIGH CARDINALITY
UNIFORM

Distinct1064
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
Lxi
 
9
Vxi
 
9
Coupe
 
8
S
 
7
V8
 
6
Other values (1059)
1237 

Length

Max length38
Median length27
Mean length11.98275862
Min length1

Characters and Unicode

Total characters15290
Distinct characters68
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique934 ?
Unique (%)73.2%

Sample

1st rowXt
2nd rowXe
3rd rowEmax Xm
4th rowXta
5th rowXm

Common Values

ValueCountFrequency (%)
Lxi9
 
0.7%
Vxi9
 
0.7%
Coupe8
 
0.6%
S7
 
0.5%
V86
 
0.5%
Xe Diesel6
 
0.5%
V5
 
0.4%
Zxi5
 
0.4%
Xe Petrol4
 
0.3%
S Petrol4
 
0.3%
Other values (1054)1213
95.1%

Length

2022-05-07T18:31:00.827870image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
diesel112
 
3.3%
plus105
 
3.1%
petrol94
 
2.7%
at92
 
2.7%
o91
 
2.7%
1.275
 
2.2%
mt67
 
2.0%
s55
 
1.6%
1.544
 
1.3%
2.043
 
1.3%
Other values (438)2648
77.3%

Most occurring characters

ValueCountFrequency (%)
2150
 
14.1%
t981
 
6.4%
i895
 
5.9%
e873
 
5.7%
r592
 
3.9%
l543
 
3.6%
o492
 
3.2%
.422
 
2.8%
s418
 
2.7%
n368
 
2.4%
Other values (58)7556
49.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7784
50.9%
Uppercase Letter3035
 
19.8%
Space Separator2150
 
14.1%
Decimal Number1556
 
10.2%
Other Punctuation426
 
2.8%
Open Punctuation129
 
0.8%
Close Punctuation123
 
0.8%
Dash Punctuation51
 
0.3%
Math Symbol36
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t981
12.6%
i895
11.5%
e873
11.2%
r592
 
7.6%
l543
 
7.0%
o492
 
6.3%
s418
 
5.4%
n368
 
4.7%
d365
 
4.7%
a350
 
4.5%
Other values (16)1907
24.5%
Uppercase Letter
ValueCountFrequency (%)
S350
11.5%
D303
10.0%
P285
9.4%
T259
 
8.5%
A231
 
7.6%
L212
 
7.0%
V195
 
6.4%
C194
 
6.4%
X177
 
5.8%
M134
 
4.4%
Other values (15)695
22.9%
Decimal Number
ValueCountFrequency (%)
1358
23.0%
2283
18.2%
0245
15.7%
4167
10.7%
5165
10.6%
393
 
6.0%
693
 
6.0%
889
 
5.7%
749
 
3.1%
914
 
0.9%
Other Punctuation
ValueCountFrequency (%)
.422
99.1%
&4
 
0.9%
Space Separator
ValueCountFrequency (%)
2150
100.0%
Open Punctuation
ValueCountFrequency (%)
(129
100.0%
Close Punctuation
ValueCountFrequency (%)
)123
100.0%
Dash Punctuation
ValueCountFrequency (%)
-51
100.0%
Math Symbol
ValueCountFrequency (%)
+36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin10819
70.8%
Common4471
29.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t981
 
9.1%
i895
 
8.3%
e873
 
8.1%
r592
 
5.5%
l543
 
5.0%
o492
 
4.5%
s418
 
3.9%
n368
 
3.4%
d365
 
3.4%
S350
 
3.2%
Other values (41)4942
45.7%
Common
ValueCountFrequency (%)
2150
48.1%
.422
 
9.4%
1358
 
8.0%
2283
 
6.3%
0245
 
5.5%
4167
 
3.7%
5165
 
3.7%
(129
 
2.9%
)123
 
2.8%
393
 
2.1%
Other values (7)336
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII15290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2150
 
14.1%
t981
 
6.4%
i895
 
5.9%
e873
 
5.7%
r592
 
3.9%
l543
 
3.6%
o492
 
3.2%
.422
 
2.8%
s418
 
2.7%
n368
 
2.4%
Other values (58)7556
49.4%

Ex-Showroom_Price
Categorical

HIGH CARDINALITY
UNIFORM

Distinct1179
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
Rs. 9,99,900
 
14
Rs. 9,99,990
 
4
Rs. 9,89,000
 
3
Rs. 9,25,000
 
3
Rs. 7,45,000
 
3
Other values (1174)
1249 

Length

Max length16
Median length15
Mean length12.72648903
Min length12

Characters and Unicode

Total characters16239
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1099 ?
Unique (%)86.1%

Sample

1st rowRs. 2,92,667
2nd rowRs. 2,36,447
3rd rowRs. 2,96,661
4th rowRs. 3,34,768
5th rowRs. 2,72,223

Common Values

ValueCountFrequency (%)
Rs. 9,99,90014
 
1.1%
Rs. 9,99,9904
 
0.3%
Rs. 9,89,0003
 
0.2%
Rs. 9,25,0003
 
0.2%
Rs. 7,45,0003
 
0.2%
Rs. 1,35,10,0002
 
0.2%
Rs. 10,90,0002
 
0.2%
Rs. 42,40,0002
 
0.2%
Rs. 32,33,0002
 
0.2%
Rs. 34,20,0002
 
0.2%
Other values (1169)1239
97.1%

Length

2022-05-07T18:31:01.218640image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
rs1276
50.0%
9,99,90014
 
0.5%
9,99,9904
 
0.2%
9,89,0003
 
0.1%
9,25,0003
 
0.1%
7,45,0003
 
0.1%
9,50,0002
 
0.1%
14,49,5002
 
0.1%
16,10,1802
 
0.1%
9,99,0002
 
0.1%
Other values (1170)1241
48.6%

Most occurring characters

ValueCountFrequency (%)
,2681
16.5%
02372
14.6%
R1276
7.9%
s1276
7.9%
.1276
7.9%
1276
7.9%
91005
 
6.2%
1849
 
5.2%
5704
 
4.3%
2632
 
3.9%
Other values (5)2892
17.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number8454
52.1%
Other Punctuation3957
24.4%
Uppercase Letter1276
 
7.9%
Lowercase Letter1276
 
7.9%
Space Separator1276
 
7.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
02372
28.1%
91005
11.9%
1849
 
10.0%
5704
 
8.3%
2632
 
7.5%
3620
 
7.3%
8591
 
7.0%
6566
 
6.7%
7565
 
6.7%
4550
 
6.5%
Other Punctuation
ValueCountFrequency (%)
,2681
67.8%
.1276
32.2%
Uppercase Letter
ValueCountFrequency (%)
R1276
100.0%
Lowercase Letter
ValueCountFrequency (%)
s1276
100.0%
Space Separator
ValueCountFrequency (%)
1276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common13687
84.3%
Latin2552
 
15.7%

Most frequent character per script

Common
ValueCountFrequency (%)
,2681
19.6%
02372
17.3%
.1276
9.3%
1276
9.3%
91005
 
7.3%
1849
 
6.2%
5704
 
5.1%
2632
 
4.6%
3620
 
4.5%
8591
 
4.3%
Other values (3)1681
12.3%
Latin
ValueCountFrequency (%)
R1276
50.0%
s1276
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII16239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
,2681
16.5%
02372
14.6%
R1276
7.9%
s1276
7.9%
.1276
7.9%
1276
7.9%
91005
 
6.2%
1849
 
5.2%
5704
 
4.3%
2632
 
3.9%
Other values (5)2892
17.8%

Displacement
Categorical

HIGH CARDINALITY

Distinct129
Distinct (%)10.2%
Missing12
Missing (%)0.9%
Memory size10.1 KiB
1197 cc
108 
1498 cc
 
87
1248 cc
 
62
1198 cc
 
58
1497 cc
 
56
Other values (124)
893 

Length

Max length7
Median length7
Mean length6.915348101
Min length5

Characters and Unicode

Total characters8741
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)2.3%

Sample

1st row624 cc
2nd row624 cc
3rd row624 cc
4th row624 cc
5th row624 cc

Common Values

ValueCountFrequency (%)
1197 cc108
 
8.5%
1498 cc87
 
6.8%
1248 cc62
 
4.9%
1198 cc58
 
4.5%
1497 cc56
 
4.4%
998 cc53
 
4.2%
2179 cc46
 
3.6%
1199 cc39
 
3.1%
1461 cc38
 
3.0%
1968 cc29
 
2.3%
Other values (119)688
53.9%

Length

2022-05-07T18:31:01.578013image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cc1264
50.0%
1197108
 
4.3%
149887
 
3.4%
124862
 
2.5%
119858
 
2.3%
149756
 
2.2%
99853
 
2.1%
217946
 
1.8%
119939
 
1.5%
146138
 
1.5%
Other values (120)717
28.4%

Most occurring characters

ValueCountFrequency (%)
c2528
28.9%
91326
15.2%
1264
14.5%
11259
14.4%
4453
 
5.2%
8441
 
5.0%
2352
 
4.0%
7336
 
3.8%
6285
 
3.3%
3205
 
2.3%
Other values (2)292
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number4949
56.6%
Lowercase Letter2528
28.9%
Space Separator1264
 
14.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
91326
26.8%
11259
25.4%
4453
 
9.2%
8441
 
8.9%
2352
 
7.1%
7336
 
6.8%
6285
 
5.8%
3205
 
4.1%
5201
 
4.1%
091
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
c2528
100.0%
Space Separator
ValueCountFrequency (%)
1264
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common6213
71.1%
Latin2528
28.9%

Most frequent character per script

Common
ValueCountFrequency (%)
91326
21.3%
1264
20.3%
11259
20.3%
4453
 
7.3%
8441
 
7.1%
2352
 
5.7%
7336
 
5.4%
6285
 
4.6%
3205
 
3.3%
5201
 
3.2%
Latin
ValueCountFrequency (%)
c2528
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8741
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
c2528
28.9%
91326
15.2%
1264
14.5%
11259
14.4%
4453
 
5.2%
8441
 
5.0%
2352
 
4.0%
7336
 
3.8%
6285
 
3.3%
3205
 
2.3%
Other values (2)292
 
3.3%

Cylinders
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct9
Distinct (%)0.7%
Missing66
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean4.380991736
Minimum2
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2022-05-07T18:31:01.906105image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median4
Q34
95-th percentile8
Maximum16
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.660957005
Coefficient of variation (CV)0.3791280845
Kurtosis10.97127808
Mean4.380991736
Median Absolute Deviation (MAD)0
Skewness2.979321847
Sum5301
Variance2.758778172
MonotonicityNot monotonic
2022-05-07T18:31:02.251937image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4789
61.8%
3213
 
16.7%
6106
 
8.3%
853
 
4.2%
1221
 
1.6%
510
 
0.8%
1010
 
0.8%
26
 
0.5%
162
 
0.2%
(Missing)66
 
5.2%
ValueCountFrequency (%)
26
 
0.5%
3213
 
16.7%
4789
61.8%
510
 
0.8%
6106
 
8.3%
853
 
4.2%
1010
 
0.8%
1221
 
1.6%
162
 
0.2%
ValueCountFrequency (%)
162
 
0.2%
1221
 
1.6%
1010
 
0.8%
853
 
4.2%
6106
 
8.3%
510
 
0.8%
4789
61.8%
3213
 
16.7%
26
 
0.5%

Valves_Per_Cylinder
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct8
Distinct (%)0.7%
Missing102
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean3.977853492
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2022-05-07T18:31:02.566553image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q14
median4
Q34
95-th percentile4
Maximum16
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8337633285
Coefficient of variation (CV)0.2096013164
Kurtosis103.8649375
Mean3.977853492
Median Absolute Deviation (MAD)0
Skewness7.953571727
Sum4670
Variance0.695161288
MonotonicityNot monotonic
2022-05-07T18:31:02.894551image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
41113
87.2%
246
 
3.6%
124
 
0.3%
84
 
0.3%
162
 
0.2%
12
 
0.2%
32
 
0.2%
61
 
0.1%
(Missing)102
 
8.0%
ValueCountFrequency (%)
12
 
0.2%
246
 
3.6%
32
 
0.2%
41113
87.2%
61
 
0.1%
84
 
0.3%
124
 
0.3%
162
 
0.2%
ValueCountFrequency (%)
162
 
0.2%
124
 
0.3%
84
 
0.3%
61
 
0.1%
41113
87.2%
32
 
0.2%
246
 
3.6%
12
 
0.2%

Drivetrain
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)0.3%
Missing7
Missing (%)0.5%
Memory size10.1 KiB
FWD (Front Wheel Drive)
887 
RWD (Rear Wheel Drive)
170 
AWD (All Wheel Drive)
153 
4WD
 
59

Length

Max length23
Median length23
Mean length21.69503546
Min length3

Characters and Unicode

Total characters27531
Distinct characters19
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRWD (Rear Wheel Drive)
2nd rowRWD (Rear Wheel Drive)
3rd rowRWD (Rear Wheel Drive)
4th rowRWD (Rear Wheel Drive)
5th rowRWD (Rear Wheel Drive)

Common Values

ValueCountFrequency (%)
FWD (Front Wheel Drive)887
69.5%
RWD (Rear Wheel Drive)170
 
13.3%
AWD (All Wheel Drive)153
 
12.0%
4WD59
 
4.6%
(Missing)7
 
0.5%

Length

2022-05-07T18:31:03.256171image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:03.725872image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
wheel1210
24.7%
drive1210
24.7%
fwd887
18.1%
front887
18.1%
rwd170
 
3.5%
rear170
 
3.5%
awd153
 
3.1%
all153
 
3.1%
4wd59
 
1.2%

Most occurring characters

ValueCountFrequency (%)
e3800
13.8%
3630
13.2%
D2479
9.0%
W2479
9.0%
r2267
 
8.2%
F1774
 
6.4%
l1516
 
5.5%
)1210
 
4.4%
v1210
 
4.4%
i1210
 
4.4%
Other values (9)5956
21.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter14044
51.0%
Uppercase Letter7378
26.8%
Space Separator3630
 
13.2%
Close Punctuation1210
 
4.4%
Open Punctuation1210
 
4.4%
Decimal Number59
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e3800
27.1%
r2267
16.1%
l1516
 
10.8%
v1210
 
8.6%
i1210
 
8.6%
h1210
 
8.6%
t887
 
6.3%
n887
 
6.3%
o887
 
6.3%
a170
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
D2479
33.6%
W2479
33.6%
F1774
24.0%
R340
 
4.6%
A306
 
4.1%
Space Separator
ValueCountFrequency (%)
3630
100.0%
Close Punctuation
ValueCountFrequency (%)
)1210
100.0%
Open Punctuation
ValueCountFrequency (%)
(1210
100.0%
Decimal Number
ValueCountFrequency (%)
459
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin21422
77.8%
Common6109
 
22.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e3800
17.7%
D2479
11.6%
W2479
11.6%
r2267
10.6%
F1774
8.3%
l1516
 
7.1%
v1210
 
5.6%
i1210
 
5.6%
h1210
 
5.6%
t887
 
4.1%
Other values (5)2590
12.1%
Common
ValueCountFrequency (%)
3630
59.4%
)1210
 
19.8%
(1210
 
19.8%
459
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII27531
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e3800
13.8%
3630
13.2%
D2479
9.0%
W2479
9.0%
r2267
 
8.2%
F1774
 
6.4%
l1516
 
5.5%
)1210
 
4.4%
v1210
 
4.4%
i1210
 
4.4%
Other values (9)5956
21.6%

Cylinder_Configuration
Categorical

HIGH CORRELATION
MISSING

Distinct4
Distinct (%)0.3%
Missing13
Missing (%)1.0%
Memory size10.1 KiB
In-line
1077 
V
176 
W
 
6
Flat
 
4

Length

Max length7
Median length7
Mean length6.125890736
Min length1

Characters and Unicode

Total characters7737
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIn-line
2nd rowIn-line
3rd rowIn-line
4th rowIn-line
5th rowIn-line

Common Values

ValueCountFrequency (%)
In-line1077
84.4%
V176
 
13.8%
W6
 
0.5%
Flat4
 
0.3%
(Missing)13
 
1.0%

Length

2022-05-07T18:31:04.087401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:04.431121image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
in-line1077
85.3%
v176
 
13.9%
w6
 
0.5%
flat4
 
0.3%

Most occurring characters

ValueCountFrequency (%)
n2154
27.8%
l1081
14.0%
I1077
13.9%
-1077
13.9%
i1077
13.9%
e1077
13.9%
V176
 
2.3%
W6
 
0.1%
F4
 
0.1%
a4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5397
69.8%
Uppercase Letter1263
 
16.3%
Dash Punctuation1077
 
13.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n2154
39.9%
l1081
20.0%
i1077
20.0%
e1077
20.0%
a4
 
0.1%
t4
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
I1077
85.3%
V176
 
13.9%
W6
 
0.5%
F4
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
-1077
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6660
86.1%
Common1077
 
13.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
n2154
32.3%
l1081
16.2%
I1077
16.2%
i1077
16.2%
e1077
16.2%
V176
 
2.6%
W6
 
0.1%
F4
 
0.1%
a4
 
0.1%
t4
 
0.1%
Common
ValueCountFrequency (%)
-1077
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7737
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n2154
27.8%
l1081
14.0%
I1077
13.9%
-1077
13.9%
i1077
13.9%
e1077
13.9%
V176
 
2.3%
W6
 
0.1%
F4
 
0.1%
a4
 
0.1%

Emission_Norm
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)0.3%
Missing11
Missing (%)0.9%
Memory size10.1 KiB
BS IV
879 
BS 6
358 
BS VI
 
19
BS III
 
9

Length

Max length6
Median length5
Mean length4.724110672
Min length4

Characters and Unicode

Total characters5976
Distinct characters6
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBS IV
2nd rowBS IV
3rd rowBS IV
4th rowBS IV
5th rowBS IV

Common Values

ValueCountFrequency (%)
BS IV879
68.9%
BS 6358
28.1%
BS VI19
 
1.5%
BS III9
 
0.7%
(Missing)11
 
0.9%

Length

2022-05-07T18:31:04.777213image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:05.138264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
bs1265
50.0%
iv879
34.7%
6358
 
14.2%
vi19
 
0.8%
iii9
 
0.4%

Most occurring characters

ValueCountFrequency (%)
B1265
21.2%
S1265
21.2%
1265
21.2%
I925
15.5%
V898
15.0%
6358
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter4353
72.8%
Space Separator1265
 
21.2%
Decimal Number358
 
6.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B1265
29.1%
S1265
29.1%
I925
21.2%
V898
20.6%
Space Separator
ValueCountFrequency (%)
1265
100.0%
Decimal Number
ValueCountFrequency (%)
6358
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4353
72.8%
Common1623
 
27.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
B1265
29.1%
S1265
29.1%
I925
21.2%
V898
20.6%
Common
ValueCountFrequency (%)
1265
77.9%
6358
 
22.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII5976
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
B1265
21.2%
S1265
21.2%
1265
21.2%
I925
15.5%
V898
15.0%
6358
 
6.0%

Engine_Location
Categorical

HIGH CORRELATION
MISSING

Distinct7
Distinct (%)0.6%
Missing43
Missing (%)3.4%
Memory size10.1 KiB
Front, Transverse
804 
Front, Longitudinal
405 
Rear, Transverse
 
16
Rear Mid, Transverse
 
3
Mid, Longitudinal
 
2
Other values (2)
 
3

Length

Max length20
Median length17
Mean length17.64882401
Min length15

Characters and Unicode

Total characters21761
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowRear, Transverse
2nd rowRear, Transverse
3rd rowRear, Transverse
4th rowRear, Transverse
5th rowRear, Transverse

Common Values

ValueCountFrequency (%)
Front, Transverse804
63.0%
Front, Longitudinal405
31.7%
Rear, Transverse16
 
1.3%
Rear Mid, Transverse3
 
0.2%
Mid, Longitudinal2
 
0.2%
Mid, Transverse2
 
0.2%
Rear, Longitudinal1
 
0.1%
(Missing)43
 
3.4%

Length

2022-05-07T18:31:05.483325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:05.859418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
front1209
49.0%
transverse825
33.4%
longitudinal408
 
16.5%
rear20
 
0.8%
mid7
 
0.3%

Most occurring characters

ValueCountFrequency (%)
r2879
13.2%
n2850
13.1%
e1670
 
7.7%
s1650
 
7.6%
o1617
 
7.4%
t1617
 
7.4%
a1253
 
5.8%
1236
 
5.7%
,1233
 
5.7%
F1209
 
5.6%
Other values (10)4547
20.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter16823
77.3%
Uppercase Letter2469
 
11.3%
Space Separator1236
 
5.7%
Other Punctuation1233
 
5.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r2879
17.1%
n2850
16.9%
e1670
9.9%
s1650
9.8%
o1617
9.6%
t1617
9.6%
a1253
7.4%
v825
 
4.9%
i823
 
4.9%
d415
 
2.5%
Other values (3)1224
7.3%
Uppercase Letter
ValueCountFrequency (%)
F1209
49.0%
T825
33.4%
L408
 
16.5%
R20
 
0.8%
M7
 
0.3%
Space Separator
ValueCountFrequency (%)
1236
100.0%
Other Punctuation
ValueCountFrequency (%)
,1233
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin19292
88.7%
Common2469
 
11.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
r2879
14.9%
n2850
14.8%
e1670
8.7%
s1650
8.6%
o1617
8.4%
t1617
8.4%
a1253
6.5%
F1209
6.3%
v825
 
4.3%
T825
 
4.3%
Other values (8)2897
15.0%
Common
ValueCountFrequency (%)
1236
50.1%
,1233
49.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII21761
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r2879
13.2%
n2850
13.1%
e1670
 
7.7%
s1650
 
7.6%
o1617
 
7.4%
t1617
 
7.4%
a1253
 
5.8%
1236
 
5.7%
,1233
 
5.7%
F1209
 
5.6%
Other values (10)4547
20.9%

Fuel_System
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)0.2%
Missing8
Missing (%)0.6%
Memory size10.1 KiB
Injection
1264 
PGM - Fi
 
4

Length

Max length9
Median length9
Mean length8.996845426
Min length8

Characters and Unicode

Total characters11408
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowInjection
2nd rowInjection
3rd rowInjection
4th rowInjection
5th rowInjection

Common Values

ValueCountFrequency (%)
Injection1264
99.1%
PGM - Fi4
 
0.3%
(Missing)8
 
0.6%

Length

2022-05-07T18:31:06.219748image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:06.563418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
injection1264
99.1%
pgm4
 
0.3%
4
 
0.3%
fi4
 
0.3%

Most occurring characters

ValueCountFrequency (%)
n2528
22.2%
i1268
11.1%
I1264
11.1%
j1264
11.1%
e1264
11.1%
c1264
11.1%
t1264
11.1%
o1264
11.1%
8
 
0.1%
P4
 
< 0.1%
Other values (4)16
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter10116
88.7%
Uppercase Letter1280
 
11.2%
Space Separator8
 
0.1%
Dash Punctuation4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n2528
25.0%
i1268
12.5%
j1264
12.5%
e1264
12.5%
c1264
12.5%
t1264
12.5%
o1264
12.5%
Uppercase Letter
ValueCountFrequency (%)
I1264
98.8%
P4
 
0.3%
G4
 
0.3%
M4
 
0.3%
F4
 
0.3%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
-4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin11396
99.9%
Common12
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n2528
22.2%
i1268
11.1%
I1264
11.1%
j1264
11.1%
e1264
11.1%
c1264
11.1%
t1264
11.1%
o1264
11.1%
P4
 
< 0.1%
G4
 
< 0.1%
Other values (2)8
 
0.1%
Common
ValueCountFrequency (%)
8
66.7%
-4
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII11408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n2528
22.2%
i1268
11.1%
I1264
11.1%
j1264
11.1%
e1264
11.1%
c1264
11.1%
t1264
11.1%
o1264
11.1%
8
 
0.1%
P4
 
< 0.1%
Other values (4)16
 
0.1%

Fuel_Tank_Capacity
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct63
Distinct (%)5.2%
Missing69
Missing (%)5.4%
Memory size10.1 KiB
45 litres
125 
35 litres
124 
50 litres
94 
60 litres
91 
37 litres
79 
Other values (58)
694 

Length

Max length11
Median length9
Mean length9.025683513
Min length9

Characters and Unicode

Total characters10894
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.7%

Sample

1st row24 litres
2nd row24 litres
3rd row15 litres
4th row24 litres
5th row24 litres

Common Values

ValueCountFrequency (%)
45 litres125
 
9.8%
35 litres124
 
9.7%
50 litres94
 
7.4%
60 litres91
 
7.1%
37 litres79
 
6.2%
55 litres73
 
5.7%
40 litres56
 
4.4%
42 litres51
 
4.0%
70 litres48
 
3.8%
44 litres48
 
3.8%
Other values (53)418
32.8%
(Missing)69
 
5.4%

Length

2022-05-07T18:31:06.909296image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
litres1207
50.0%
45125
 
5.2%
35124
 
5.1%
5094
 
3.9%
6091
 
3.8%
3779
 
3.3%
5573
 
3.0%
4056
 
2.3%
4251
 
2.1%
7048
 
2.0%
Other values (54)466
 
19.3%

Most occurring characters

ValueCountFrequency (%)
1207
11.1%
l1207
11.1%
i1207
11.1%
t1207
11.1%
r1207
11.1%
e1207
11.1%
s1207
11.1%
5576
5.3%
4435
 
4.0%
0370
 
3.4%
Other values (8)1064
9.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7242
66.5%
Decimal Number2436
 
22.4%
Space Separator1207
 
11.1%
Other Punctuation9
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5576
23.6%
4435
17.9%
0370
15.2%
3301
12.4%
6215
 
8.8%
7189
 
7.8%
2141
 
5.8%
8126
 
5.2%
944
 
1.8%
139
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
l1207
16.7%
i1207
16.7%
t1207
16.7%
r1207
16.7%
e1207
16.7%
s1207
16.7%
Space Separator
ValueCountFrequency (%)
1207
100.0%
Other Punctuation
ValueCountFrequency (%)
.9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7242
66.5%
Common3652
33.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1207
33.1%
5576
15.8%
4435
 
11.9%
0370
 
10.1%
3301
 
8.2%
6215
 
5.9%
7189
 
5.2%
2141
 
3.9%
8126
 
3.5%
944
 
1.2%
Other values (2)48
 
1.3%
Latin
ValueCountFrequency (%)
l1207
16.7%
i1207
16.7%
t1207
16.7%
r1207
16.7%
e1207
16.7%
s1207
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII10894
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1207
11.1%
l1207
11.1%
i1207
11.1%
t1207
11.1%
r1207
11.1%
e1207
11.1%
s1207
11.1%
5576
5.3%
4435
 
4.0%
0370
 
3.4%
Other values (8)1064
9.8%

Fuel_Type
Categorical

HIGH CORRELATION

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
Petrol
643 
Diesel
582 
CNG
 
16
Hybrid
 
15
Electric
 
14

Length

Max length12
Median length6
Mean length6.012539185
Min length3

Characters and Unicode

Total characters7672
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPetrol
2nd rowPetrol
3rd rowCNG
4th rowPetrol
5th rowPetrol

Common Values

ValueCountFrequency (%)
Petrol643
50.4%
Diesel582
45.6%
CNG16
 
1.3%
Hybrid15
 
1.2%
Electric14
 
1.1%
CNG + Petrol6
 
0.5%

Length

2022-05-07T18:31:07.266111image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:07.614511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
petrol649
50.4%
diesel582
45.2%
cng22
 
1.7%
hybrid15
 
1.2%
electric14
 
1.1%
6
 
0.5%

Most occurring characters

ValueCountFrequency (%)
e1827
23.8%
l1245
16.2%
r678
 
8.8%
t663
 
8.6%
P649
 
8.5%
o649
 
8.5%
i611
 
8.0%
D582
 
7.6%
s582
 
7.6%
c28
 
0.4%
Other values (10)158
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6328
82.5%
Uppercase Letter1326
 
17.3%
Space Separator12
 
0.2%
Math Symbol6
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e1827
28.9%
l1245
19.7%
r678
 
10.7%
t663
 
10.5%
o649
 
10.3%
i611
 
9.7%
s582
 
9.2%
c28
 
0.4%
y15
 
0.2%
b15
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
P649
48.9%
D582
43.9%
G22
 
1.7%
N22
 
1.7%
C22
 
1.7%
H15
 
1.1%
E14
 
1.1%
Space Separator
ValueCountFrequency (%)
12
100.0%
Math Symbol
ValueCountFrequency (%)
+6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7654
99.8%
Common18
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e1827
23.9%
l1245
16.3%
r678
 
8.9%
t663
 
8.7%
P649
 
8.5%
o649
 
8.5%
i611
 
8.0%
D582
 
7.6%
s582
 
7.6%
c28
 
0.4%
Other values (8)140
 
1.8%
Common
ValueCountFrequency (%)
12
66.7%
+6
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII7672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e1827
23.8%
l1245
16.2%
r678
 
8.8%
t663
 
8.6%
P649
 
8.5%
o649
 
8.5%
i611
 
8.0%
D582
 
7.6%
s582
 
7.6%
c28
 
0.4%
Other values (10)158
 
2.1%

Height
Categorical

HIGH CARDINALITY

Distinct211
Distinct (%)16.5%
Missing1
Missing (%)0.1%
Memory size10.1 KiB
1520 mm
 
49
1510 mm
 
35
1640 mm
 
33
1560 mm
 
29
1525 mm
 
27
Other values (206)
1102 

Length

Max length8
Median length7
Mean length7.000784314
Min length7

Characters and Unicode

Total characters8926
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)4.9%

Sample

1st row1652 mm
2nd row1652 mm
3rd row1652 mm
4th row1652 mm
5th row1652 mm

Common Values

ValueCountFrequency (%)
1520 mm49
 
3.8%
1510 mm35
 
2.7%
1640 mm33
 
2.6%
1560 mm29
 
2.3%
1525 mm27
 
2.1%
1607 mm27
 
2.1%
1495 mm24
 
1.9%
1655 mm22
 
1.7%
1475 mm22
 
1.7%
1785 mm21
 
1.6%
Other values (201)986
77.3%

Length

2022-05-07T18:31:07.960437image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
mm1275
50.0%
152049
 
1.9%
151035
 
1.4%
164033
 
1.3%
156029
 
1.1%
152527
 
1.1%
160727
 
1.1%
149524
 
0.9%
165522
 
0.9%
147522
 
0.9%
Other values (202)1007
39.5%

Most occurring characters

ValueCountFrequency (%)
m2550
28.6%
11470
16.5%
1275
14.3%
5854
 
9.6%
4518
 
5.8%
6510
 
5.7%
0503
 
5.6%
7373
 
4.2%
8260
 
2.9%
9224
 
2.5%
Other values (3)389
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number5100
57.1%
Lowercase Letter2550
28.6%
Space Separator1275
 
14.3%
Other Punctuation1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
11470
28.8%
5854
16.7%
4518
 
10.2%
6510
 
10.0%
0503
 
9.9%
7373
 
7.3%
8260
 
5.1%
9224
 
4.4%
2196
 
3.8%
3192
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
m2550
100.0%
Space Separator
ValueCountFrequency (%)
1275
100.0%
Other Punctuation
ValueCountFrequency (%)
.1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common6376
71.4%
Latin2550
 
28.6%

Most frequent character per script

Common
ValueCountFrequency (%)
11470
23.1%
1275
20.0%
5854
13.4%
4518
 
8.1%
6510
 
8.0%
0503
 
7.9%
7373
 
5.9%
8260
 
4.1%
9224
 
3.5%
2196
 
3.1%
Other values (2)193
 
3.0%
Latin
ValueCountFrequency (%)
m2550
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8926
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m2550
28.6%
11470
16.5%
1275
14.3%
5854
 
9.6%
4518
 
5.8%
6510
 
5.7%
0503
 
5.6%
7373
 
4.2%
8260
 
2.9%
9224
 
2.5%
Other values (3)389
 
4.4%

Length
Categorical

HIGH CARDINALITY

Distinct228
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
3995 mm
174 
4440 mm
 
36
3700 mm
 
29
4585 mm
 
29
4395 mm
 
27
Other values (223)
981 

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters8932
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)5.6%

Sample

1st row3164 mm
2nd row3164 mm
3rd row3164 mm
4th row3164 mm
5th row3164 mm

Common Values

ValueCountFrequency (%)
3995 mm174
 
13.6%
4440 mm36
 
2.8%
3700 mm29
 
2.3%
4585 mm29
 
2.3%
4395 mm27
 
2.1%
3994 mm27
 
2.1%
4315 mm25
 
2.0%
3600 mm20
 
1.6%
4413 mm18
 
1.4%
4270 mm18
 
1.4%
Other values (218)873
68.4%

Length

2022-05-07T18:31:08.313817image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
mm1276
50.0%
3995174
 
6.8%
444036
 
1.4%
370029
 
1.1%
458529
 
1.1%
439527
 
1.1%
399427
 
1.1%
431525
 
1.0%
360020
 
0.8%
441318
 
0.7%
Other values (219)891
34.9%

Most occurring characters

ValueCountFrequency (%)
m2552
28.6%
1276
14.3%
41002
 
11.2%
9856
 
9.6%
3805
 
9.0%
5780
 
8.7%
0392
 
4.4%
8317
 
3.5%
6278
 
3.1%
7261
 
2.9%
Other values (3)413
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number5103
57.1%
Lowercase Letter2552
28.6%
Space Separator1276
 
14.3%
Other Punctuation1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
41002
19.6%
9856
16.8%
3805
15.8%
5780
15.3%
0392
 
7.7%
8317
 
6.2%
6278
 
5.4%
7261
 
5.1%
2214
 
4.2%
1198
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
m2552
100.0%
Space Separator
ValueCountFrequency (%)
1276
100.0%
Other Punctuation
ValueCountFrequency (%)
.1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common6380
71.4%
Latin2552
 
28.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1276
20.0%
41002
15.7%
9856
13.4%
3805
12.6%
5780
12.2%
0392
 
6.1%
8317
 
5.0%
6278
 
4.4%
7261
 
4.1%
2214
 
3.4%
Other values (2)199
 
3.1%
Latin
ValueCountFrequency (%)
m2552
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8932
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m2552
28.6%
1276
14.3%
41002
 
11.2%
9856
 
9.6%
3805
 
9.0%
5780
 
8.7%
0392
 
4.4%
8317
 
3.5%
6278
 
3.1%
7261
 
2.9%
Other values (3)413
 
4.6%

Width
Categorical

HIGH CARDINALITY

Distinct182
Distinct (%)14.4%
Missing12
Missing (%)0.9%
Memory size10.1 KiB
1695 mm
 
76
1735 mm
 
70
1730 mm
 
36
1811 mm
 
30
1745 mm
 
29
Other values (177)
1023 

Length

Max length8
Median length7
Mean length7.000791139
Min length7

Characters and Unicode

Total characters8849
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)3.6%

Sample

1st row1750 mm
2nd row1750 mm
3rd row1750 mm
4th row1750 mm
5th row1750 mm

Common Values

ValueCountFrequency (%)
1695 mm76
 
6.0%
1735 mm70
 
5.5%
1730 mm36
 
2.8%
1811 mm30
 
2.4%
1745 mm29
 
2.3%
1660 mm28
 
2.2%
1699 mm28
 
2.2%
1850 mm25
 
2.0%
1890 mm24
 
1.9%
1818 mm23
 
1.8%
Other values (172)895
70.1%

Length

2022-05-07T18:31:08.644563image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
mm1264
50.0%
169576
 
3.0%
173570
 
2.8%
173036
 
1.4%
181130
 
1.2%
174529
 
1.1%
166028
 
1.1%
169928
 
1.1%
185025
 
1.0%
189024
 
0.9%
Other values (173)918
36.3%

Most occurring characters

ValueCountFrequency (%)
m2528
28.6%
11373
15.5%
1264
14.3%
0570
 
6.4%
8520
 
5.9%
7484
 
5.5%
6460
 
5.2%
5432
 
4.9%
9416
 
4.7%
2315
 
3.6%
Other values (3)487
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number5056
57.1%
Lowercase Letter2528
28.6%
Space Separator1264
 
14.3%
Other Punctuation1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
11373
27.2%
0570
11.3%
8520
 
10.3%
7484
 
9.6%
6460
 
9.1%
5432
 
8.5%
9416
 
8.2%
2315
 
6.2%
3271
 
5.4%
4215
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
m2528
100.0%
Space Separator
ValueCountFrequency (%)
1264
100.0%
Other Punctuation
ValueCountFrequency (%)
.1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common6321
71.4%
Latin2528
 
28.6%

Most frequent character per script

Common
ValueCountFrequency (%)
11373
21.7%
1264
20.0%
0570
9.0%
8520
 
8.2%
7484
 
7.7%
6460
 
7.3%
5432
 
6.8%
9416
 
6.6%
2315
 
5.0%
3271
 
4.3%
Other values (2)216
 
3.4%
Latin
ValueCountFrequency (%)
m2528
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8849
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m2528
28.6%
11373
15.5%
1264
14.3%
0570
 
6.4%
8520
 
5.9%
7484
 
5.5%
6460
 
5.2%
5432
 
4.9%
9416
 
4.7%
2315
 
3.6%
Other values (3)487
 
5.5%

Body_Type
Categorical

HIGH CORRELATION

Distinct17
Distinct (%)1.3%
Missing6
Missing (%)0.5%
Memory size10.1 KiB
SUV
447 
Sedan
333 
Hatchback
316 
Coupe
 
41
MUV
 
39
Other values (12)
94 

Length

Max length19
Median length18
Mean length5.416535433
Min length3

Characters and Unicode

Total characters6879
Distinct characters27
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st rowHatchback
2nd rowHatchback
3rd rowHatchback
4th rowHatchback
5th rowHatchback

Common Values

ValueCountFrequency (%)
SUV447
35.0%
Sedan333
26.1%
Hatchback316
24.8%
Coupe41
 
3.2%
MUV39
 
3.1%
MPV39
 
3.1%
Convertible20
 
1.6%
Crossover18
 
1.4%
Sports3
 
0.2%
Pick-up3
 
0.2%
Other values (7)11
 
0.9%
(Missing)6
 
0.5%

Length

2022-05-07T18:31:09.010550image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
suv451
35.2%
sedan336
26.2%
hatchback317
24.7%
coupe44
 
3.4%
muv39
 
3.0%
mpv39
 
3.0%
convertible23
 
1.8%
crossover23
 
1.8%
sports6
 
0.5%
pick-up3
 
0.2%

Most occurring characters

ValueCountFrequency (%)
a970
14.1%
S793
11.5%
c637
 
9.3%
V529
 
7.7%
U490
 
7.1%
e449
 
6.5%
n359
 
5.2%
t346
 
5.0%
b340
 
4.9%
d336
 
4.9%
Other values (17)1630
23.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4515
65.6%
Uppercase Letter2339
34.0%
Other Punctuation11
 
0.2%
Space Separator11
 
0.2%
Dash Punctuation3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a970
21.5%
c637
14.1%
e449
9.9%
n359
 
8.0%
t346
 
7.7%
b340
 
7.5%
d336
 
7.4%
k320
 
7.1%
h317
 
7.0%
o119
 
2.6%
Other values (7)322
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
S793
33.9%
V529
22.6%
U490
20.9%
H317
 
13.6%
C90
 
3.8%
M78
 
3.3%
P42
 
1.8%
Other Punctuation
ValueCountFrequency (%)
,11
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Dash Punctuation
ValueCountFrequency (%)
-3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6854
99.6%
Common25
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a970
14.2%
S793
11.6%
c637
 
9.3%
V529
 
7.7%
U490
 
7.1%
e449
 
6.6%
n359
 
5.2%
t346
 
5.0%
b340
 
5.0%
d336
 
4.9%
Other values (14)1605
23.4%
Common
ValueCountFrequency (%)
,11
44.0%
11
44.0%
-3
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII6879
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a970
14.1%
S793
11.5%
c637
 
9.3%
V529
 
7.7%
U490
 
7.1%
e449
 
6.5%
n359
 
5.2%
t346
 
5.0%
b340
 
4.9%
d336
 
4.9%
Other values (17)1630
23.7%

Doors
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct4
Distinct (%)0.3%
Missing4
Missing (%)0.3%
Memory size10.1 KiB
5.0
836 
4.0
362 
2.0
 
62
3.0
 
12

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3816
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row4.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0836
65.5%
4.0362
28.4%
2.062
 
4.9%
3.012
 
0.9%
(Missing)4
 
0.3%

Length

2022-05-07T18:31:09.371039image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:09.715715image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
5.0836
65.7%
4.0362
28.5%
2.062
 
4.9%
3.012
 
0.9%

Most occurring characters

ValueCountFrequency (%)
.1272
33.3%
01272
33.3%
5836
21.9%
4362
 
9.5%
262
 
1.6%
312
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2544
66.7%
Other Punctuation1272
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
01272
50.0%
5836
32.9%
4362
 
14.2%
262
 
2.4%
312
 
0.5%
Other Punctuation
ValueCountFrequency (%)
.1272
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common3816
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
.1272
33.3%
01272
33.3%
5836
21.9%
4362
 
9.5%
262
 
1.6%
312
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII3816
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
.1272
33.3%
01272
33.3%
5836
21.9%
4362
 
9.5%
262
 
1.6%
312
 
0.3%

City_Mileage
Categorical

HIGH CARDINALITY
MISSING

Distinct164
Distinct (%)22.7%
Missing555
Missing (%)43.5%
Memory size10.1 KiB
12 km/litre
 
38
16 km/litre
 
30
18 km/litre
 
26
14 km/litre
 
20
23 km/litre
 
19
Other values (159)
588 

Length

Max length18
Median length14
Mean length12.47572816
Min length10

Characters and Unicode

Total characters8995
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)7.1%

Sample

1st row?23.6 km/litre
2nd row?23.6 km/litre
3rd row?23.6 km/litre
4th row?23.6 km/litre
5th row?23.6 km/litre

Common Values

ValueCountFrequency (%)
12 km/litre38
 
3.0%
16 km/litre30
 
2.4%
18 km/litre26
 
2.0%
14 km/litre20
 
1.6%
23 km/litre19
 
1.5%
15.1 km/litre16
 
1.3%
20 km/litre13
 
1.0%
25.17 km/litre12
 
0.9%
16.3 km/litre11
 
0.9%
11.2 km/litre11
 
0.9%
Other values (154)525
41.1%
(Missing)555
43.5%

Length

2022-05-07T18:31:10.061518image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
km/litre721
50.0%
1238
 
2.6%
1630
 
2.1%
1826
 
1.8%
1420
 
1.4%
2319
 
1.3%
15.116
 
1.1%
2013
 
0.9%
25.1712
 
0.8%
22.2511
 
0.8%
Other values (155)536
37.2%

Most occurring characters

ValueCountFrequency (%)
721
 
8.0%
k721
 
8.0%
m721
 
8.0%
/721
 
8.0%
l721
 
8.0%
i721
 
8.0%
t721
 
8.0%
r721
 
8.0%
e721
 
8.0%
1567
 
6.3%
Other values (13)1939
21.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5047
56.1%
Decimal Number1984
 
22.1%
Other Punctuation1242
 
13.8%
Space Separator721
 
8.0%
Dash Punctuation1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1567
28.6%
2350
17.6%
5200
 
10.1%
3181
 
9.1%
8149
 
7.5%
6129
 
6.5%
4124
 
6.2%
9104
 
5.2%
095
 
4.8%
785
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
k721
14.3%
m721
14.3%
l721
14.3%
i721
14.3%
t721
14.3%
r721
14.3%
e721
14.3%
Other Punctuation
ValueCountFrequency (%)
/721
58.1%
.483
38.9%
,33
 
2.7%
?5
 
0.4%
Space Separator
ValueCountFrequency (%)
721
100.0%
Dash Punctuation
ValueCountFrequency (%)
-1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5047
56.1%
Common3948
43.9%

Most frequent character per script

Common
ValueCountFrequency (%)
721
18.3%
/721
18.3%
1567
14.4%
.483
12.2%
2350
8.9%
5200
 
5.1%
3181
 
4.6%
8149
 
3.8%
6129
 
3.3%
4124
 
3.1%
Other values (6)323
8.2%
Latin
ValueCountFrequency (%)
k721
14.3%
m721
14.3%
l721
14.3%
i721
14.3%
t721
14.3%
r721
14.3%
e721
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII8995
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
721
 
8.0%
k721
 
8.0%
m721
 
8.0%
/721
 
8.0%
l721
 
8.0%
i721
 
8.0%
t721
 
8.0%
r721
 
8.0%
e721
 
8.0%
1567
 
6.3%
Other values (13)1939
21.6%

Highway_Mileage
Categorical

HIGH CARDINALITY
MISSING

Distinct136
Distinct (%)28.6%
Missing800
Missing (%)62.7%
Memory size10.1 KiB
22 km/litre
 
17
23 km/litre
 
16
17 km/litre
 
13
16 km/litre
 
13
18.15 km/litre
 
11
Other values (131)
406 

Length

Max length16
Median length14
Mean length12.73739496
Min length10

Characters and Unicode

Total characters6063
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)8.2%

Sample

1st row24 km/litre
2nd row24 km/litre
3rd row24 km/litre
4th row24 km/litre
5th row15 km/litre

Common Values

ValueCountFrequency (%)
22 km/litre17
 
1.3%
23 km/litre16
 
1.3%
17 km/litre13
 
1.0%
16 km/litre13
 
1.0%
18.15 km/litre11
 
0.9%
15.4 km/litre11
 
0.9%
11.12 km/litre11
 
0.9%
17.6 km/litre11
 
0.9%
25.32 km/litre11
 
0.9%
10.5 km/litre10
 
0.8%
Other values (126)352
27.6%
(Missing)800
62.7%

Length

2022-05-07T18:31:10.431174image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
km/litre476
50.0%
2217
 
1.8%
2316
 
1.7%
1713
 
1.4%
1613
 
1.4%
18.1511
 
1.2%
15.411
 
1.2%
11.1211
 
1.2%
17.611
 
1.2%
25.3211
 
1.2%
Other values (127)362
38.0%

Most occurring characters

ValueCountFrequency (%)
k476
 
7.9%
m476
 
7.9%
/476
 
7.9%
l476
 
7.9%
i476
 
7.9%
t476
 
7.9%
r476
 
7.9%
e476
 
7.9%
476
 
7.9%
1404
 
6.7%
Other values (11)1375
22.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3332
55.0%
Decimal Number1424
23.5%
Other Punctuation830
 
13.7%
Space Separator476
 
7.9%
Dash Punctuation1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1404
28.4%
2238
16.7%
5129
 
9.1%
6108
 
7.6%
3105
 
7.4%
4101
 
7.1%
8100
 
7.0%
7100
 
7.0%
970
 
4.9%
069
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
k476
14.3%
m476
14.3%
l476
14.3%
i476
14.3%
t476
14.3%
r476
14.3%
e476
14.3%
Other Punctuation
ValueCountFrequency (%)
/476
57.3%
.354
42.7%
Space Separator
ValueCountFrequency (%)
476
100.0%
Dash Punctuation
ValueCountFrequency (%)
-1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3332
55.0%
Common2731
45.0%

Most frequent character per script

Common
ValueCountFrequency (%)
/476
17.4%
476
17.4%
1404
14.8%
.354
13.0%
2238
8.7%
5129
 
4.7%
6108
 
4.0%
3105
 
3.8%
4101
 
3.7%
8100
 
3.7%
Other values (4)240
8.8%
Latin
ValueCountFrequency (%)
k476
14.3%
m476
14.3%
l476
14.3%
i476
14.3%
t476
14.3%
r476
14.3%
e476
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII6063
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k476
 
7.9%
m476
 
7.9%
/476
 
7.9%
l476
 
7.9%
i476
 
7.9%
t476
 
7.9%
r476
 
7.9%
e476
 
7.9%
476
 
7.9%
1404
 
6.7%
Other values (11)1375
22.7%

ARAI_Certified_Mileage
Categorical

HIGH CARDINALITY
MISSING

Distinct281
Distinct (%)24.2%
Missing114
Missing (%)8.9%
Memory size10.1 KiB
23 km/litre
 
27
16 km/litre
 
24
17.1 km/litre
 
24
17.6 km/litre
 
23
23.1 km/litre
 
20
Other values (276)
1044 

Length

Max length18
Median length17
Mean length13.08605852
Min length10

Characters and Unicode

Total characters15206
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)6.6%

Sample

1st row23.6 km/litre
2nd row23.6 km/litre
3rd row21.9 km/litre
4th row23.6 km/litre
5th row21.9 km/litre

Common Values

ValueCountFrequency (%)
23 km/litre27
 
2.1%
16 km/litre24
 
1.9%
17.1 km/litre24
 
1.9%
17.6 km/litre23
 
1.8%
23.1 km/litre20
 
1.6%
20 km/litre19
 
1.5%
15.4 km/litre18
 
1.4%
20.4 km/litre17
 
1.3%
23.59 km/litre15
 
1.2%
20.5 km/litre14
 
1.1%
Other values (271)961
75.3%
(Missing)114
 
8.9%

Length

2022-05-07T18:31:10.782326image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
km/litre1162
50.0%
2327
 
1.2%
1624
 
1.0%
17.124
 
1.0%
17.623
 
1.0%
23.120
 
0.9%
2019
 
0.8%
15.418
 
0.8%
20.417
 
0.7%
23.5915
 
0.6%
Other values (272)975
42.0%

Most occurring characters

ValueCountFrequency (%)
k1163
 
7.6%
m1163
 
7.6%
l1163
 
7.6%
1162
 
7.6%
/1162
 
7.6%
i1162
 
7.6%
t1162
 
7.6%
r1162
 
7.6%
e1162
 
7.6%
.997
 
6.6%
Other values (12)3748
24.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter8138
53.5%
Decimal Number3745
24.6%
Other Punctuation2159
 
14.2%
Space Separator1162
 
7.6%
Dash Punctuation2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1969
25.9%
2651
17.4%
7333
 
8.9%
5313
 
8.4%
6271
 
7.2%
3262
 
7.0%
4253
 
6.8%
9243
 
6.5%
0233
 
6.2%
8217
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
k1163
14.3%
m1163
14.3%
l1163
14.3%
i1162
14.3%
t1162
14.3%
r1162
14.3%
e1162
14.3%
p1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
/1162
53.8%
.997
46.2%
Space Separator
ValueCountFrequency (%)
1162
100.0%
Dash Punctuation
ValueCountFrequency (%)
-2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8138
53.5%
Common7068
46.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1162
16.4%
/1162
16.4%
.997
14.1%
1969
13.7%
2651
9.2%
7333
 
4.7%
5313
 
4.4%
6271
 
3.8%
3262
 
3.7%
4253
 
3.6%
Other values (4)695
9.8%
Latin
ValueCountFrequency (%)
k1163
14.3%
m1163
14.3%
l1163
14.3%
i1162
14.3%
t1162
14.3%
r1162
14.3%
e1162
14.3%
p1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII15206
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k1163
 
7.6%
m1163
 
7.6%
l1163
 
7.6%
1162
 
7.6%
/1162
 
7.6%
i1162
 
7.6%
t1162
 
7.6%
r1162
 
7.6%
e1162
 
7.6%
.997
 
6.6%
Other values (12)3748
24.6%

ARAI_Certified_Mileage_for_CNG
Categorical

HIGH CORRELATION
MISSING

Distinct16
Distinct (%)59.3%
Missing1249
Missing (%)97.9%
Memory size10.1 KiB
14.16 km/kg
25 km/kg
30.48 km/kg
13.96 km/kg
33.54 km/kg
Other values (11)
12 

Length

Max length11
Median length11
Mean length9.925925926
Min length8

Characters and Unicode

Total characters268
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)37.0%

Sample

1st row36 km/kg
2nd row20 km/kg
3rd row20 km/kg
4th row32.26 km/kg
5th row31.76 km/kg

Common Values

ValueCountFrequency (%)
14.16 km/kg5
 
0.4%
25 km/kg4
 
0.3%
30.48 km/kg2
 
0.2%
13.96 km/kg2
 
0.2%
33.54 km/kg2
 
0.2%
20 km/kg2
 
0.2%
31.76 km/kg1
 
0.1%
26.6 km/kg1
 
0.1%
36 km/kg1
 
0.1%
20.4 km/kg1
 
0.1%
Other values (6)6
 
0.5%
(Missing)1249
97.9%

Length

2022-05-07T18:31:11.159535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
km/kg27
50.0%
14.165
 
9.3%
254
 
7.4%
30.482
 
3.7%
13.962
 
3.7%
33.542
 
3.7%
202
 
3.7%
31.791
 
1.9%
10.81
 
1.9%
32.261
 
1.9%
Other values (7)7
 
13.0%

Most occurring characters

ValueCountFrequency (%)
k54
20.1%
27
10.1%
m27
10.1%
/27
10.1%
g27
10.1%
.19
 
7.1%
116
 
6.0%
313
 
4.9%
612
 
4.5%
411
 
4.1%
Other values (6)35
13.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter108
40.3%
Decimal Number87
32.5%
Other Punctuation46
17.2%
Space Separator27
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
116
18.4%
313
14.9%
612
13.8%
411
12.6%
211
12.6%
57
8.0%
07
8.0%
84
 
4.6%
94
 
4.6%
72
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
k54
50.0%
m27
25.0%
g27
25.0%
Other Punctuation
ValueCountFrequency (%)
/27
58.7%
.19
41.3%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common160
59.7%
Latin108
40.3%

Most frequent character per script

Common
ValueCountFrequency (%)
27
16.9%
/27
16.9%
.19
11.9%
116
10.0%
313
8.1%
612
7.5%
411
6.9%
211
6.9%
57
 
4.4%
07
 
4.4%
Other values (3)10
 
6.2%
Latin
ValueCountFrequency (%)
k54
50.0%
m27
25.0%
g27
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII268
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k54
20.1%
27
10.1%
m27
10.1%
/27
10.1%
g27
10.1%
.19
 
7.1%
116
 
6.0%
313
 
4.9%
612
 
4.5%
411
 
4.1%
Other values (6)35
13.1%

Kerb_Weight
Categorical

HIGH CARDINALITY
MISSING

Distinct336
Distinct (%)36.9%
Missing365
Missing (%)28.6%
Memory size10.1 KiB
1785 kg
 
25
935 kg
 
21
895 kg
 
16
810 kg
 
16
1170 kg
 
14
Other values (331)
819 

Length

Max length12
Median length7
Mean length6.856201976
Min length6

Characters and Unicode

Total characters6246
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)17.5%

Sample

1st row660 kg
2nd row725 kg
3rd row710 kg
4th row725 kg
5th row725 kg

Common Values

ValueCountFrequency (%)
1785 kg25
 
2.0%
935 kg21
 
1.6%
895 kg16
 
1.3%
810 kg16
 
1.3%
1170 kg14
 
1.1%
1100 kg14
 
1.1%
669 kg12
 
0.9%
1180 kg12
 
0.9%
1615 kg11
 
0.9%
1562 kg10
 
0.8%
Other values (326)760
59.6%
(Missing)365
28.6%

Length

2022-05-07T18:31:11.504390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kg914
50.1%
178525
 
1.4%
93521
 
1.2%
89516
 
0.9%
81016
 
0.9%
117014
 
0.8%
110014
 
0.8%
66912
 
0.7%
118012
 
0.7%
161511
 
0.6%
Other values (326)770
42.2%

Most occurring characters

ValueCountFrequency (%)
914
14.6%
k914
14.6%
g914
14.6%
1891
14.3%
0515
8.2%
5426
6.8%
2342
 
5.5%
8264
 
4.2%
9245
 
3.9%
7226
 
3.6%
Other values (4)595
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number3492
55.9%
Lowercase Letter1828
29.3%
Space Separator914
 
14.6%
Dash Punctuation12
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1891
25.5%
0515
14.7%
5426
12.2%
2342
 
9.8%
8264
 
7.6%
9245
 
7.0%
7226
 
6.5%
6219
 
6.3%
3215
 
6.2%
4149
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
k914
50.0%
g914
50.0%
Space Separator
ValueCountFrequency (%)
914
100.0%
Dash Punctuation
ValueCountFrequency (%)
-12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common4418
70.7%
Latin1828
29.3%

Most frequent character per script

Common
ValueCountFrequency (%)
914
20.7%
1891
20.2%
0515
11.7%
5426
9.6%
2342
 
7.7%
8264
 
6.0%
9245
 
5.5%
7226
 
5.1%
6219
 
5.0%
3215
 
4.9%
Other values (2)161
 
3.6%
Latin
ValueCountFrequency (%)
k914
50.0%
g914
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII6246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
914
14.6%
k914
14.6%
g914
14.6%
1891
14.3%
0515
8.2%
5426
6.8%
2342
 
5.5%
8264
 
4.2%
9245
 
3.9%
7226
 
3.6%
Other values (4)595
9.5%

Gears
Categorical

HIGH CORRELATION
MISSING

Distinct8
Distinct (%)0.7%
Missing105
Missing (%)8.2%
Memory size10.1 KiB
5
614 
6
233 
8
139 
7
137 
9
 
30
Other values (3)
 
18

Length

Max length27
Median length1
Mean length1.032450897
Min length1

Characters and Unicode

Total characters1209
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row4
2nd row4
3rd row4
4th row5
5th row4

Common Values

ValueCountFrequency (%)
5614
48.1%
6233
 
18.3%
8139
 
10.9%
7137
 
10.7%
930
 
2.4%
416
 
1.3%
7 Dual Clutch1
 
0.1%
Single Speed Reduction Gear1
 
0.1%
(Missing)105
 
8.2%

Length

2022-05-07T18:31:11.848167image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:12.225144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
5614
52.2%
6233
 
19.8%
8139
 
11.8%
7138
 
11.7%
930
 
2.6%
416
 
1.4%
dual1
 
0.1%
clutch1
 
0.1%
single1
 
0.1%
speed1
 
0.1%
Other values (2)2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
5614
50.8%
6233
 
19.3%
8139
 
11.5%
7138
 
11.4%
930
 
2.5%
416
 
1.3%
5
 
0.4%
e5
 
0.4%
u3
 
0.2%
l3
 
0.2%
Other values (16)23
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1170
96.8%
Lowercase Letter28
 
2.3%
Uppercase Letter6
 
0.5%
Space Separator5
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e5
17.9%
u3
10.7%
l3
10.7%
d2
 
7.1%
n2
 
7.1%
i2
 
7.1%
c2
 
7.1%
t2
 
7.1%
a2
 
7.1%
h1
 
3.6%
Other values (4)4
14.3%
Decimal Number
ValueCountFrequency (%)
5614
52.5%
6233
 
19.9%
8139
 
11.9%
7138
 
11.8%
930
 
2.6%
416
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
S2
33.3%
C1
16.7%
D1
16.7%
R1
16.7%
G1
16.7%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1175
97.2%
Latin34
 
2.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e5
14.7%
u3
 
8.8%
l3
 
8.8%
S2
 
5.9%
d2
 
5.9%
n2
 
5.9%
i2
 
5.9%
c2
 
5.9%
t2
 
5.9%
a2
 
5.9%
Other values (9)9
26.5%
Common
ValueCountFrequency (%)
5614
52.3%
6233
 
19.8%
8139
 
11.8%
7138
 
11.7%
930
 
2.6%
416
 
1.4%
5
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5614
50.8%
6233
 
19.3%
8139
 
11.5%
7138
 
11.4%
930
 
2.5%
416
 
1.3%
5
 
0.4%
e5
 
0.4%
u3
 
0.2%
l3
 
0.2%
Other values (16)23
 
1.9%

Ground_Clearance
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct73
Distinct (%)7.4%
Missing289
Missing (%)22.6%
Memory size10.1 KiB
165 mm
143 
170 mm
138 
200 mm
75 
180 mm
65 
190 mm
56 
Other values (68)
510 

Length

Max length8
Median length6
Mean length6.028368794
Min length6

Characters and Unicode

Total characters5950
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st row180 mm
2nd row180 mm
3rd row180 mm
4th row180 mm
5th row180 mm

Common Values

ValueCountFrequency (%)
165 mm143
11.2%
170 mm138
10.8%
200 mm75
 
5.9%
180 mm65
 
5.1%
190 mm56
 
4.4%
163 mm54
 
4.2%
205 mm34
 
2.7%
160 mm29
 
2.3%
210 mm28
 
2.2%
209 mm25
 
2.0%
Other values (63)340
26.6%
(Missing)289
22.6%

Length

2022-05-07T18:31:12.586722image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
mm987
50.0%
165143
 
7.2%
170138
 
7.0%
20075
 
3.8%
18065
 
3.3%
19056
 
2.8%
16354
 
2.7%
20534
 
1.7%
16029
 
1.5%
21028
 
1.4%
Other values (64)365
 
18.5%

Most occurring characters

ValueCountFrequency (%)
m1974
33.2%
987
16.6%
1830
13.9%
0574
 
9.6%
5349
 
5.9%
2295
 
5.0%
6263
 
4.4%
7202
 
3.4%
8165
 
2.8%
9138
 
2.3%
Other values (3)173
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2975
50.0%
Lowercase Letter1974
33.2%
Space Separator987
 
16.6%
Other Punctuation14
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1830
27.9%
0574
19.3%
5349
11.7%
2295
 
9.9%
6263
 
8.8%
7202
 
6.8%
8165
 
5.5%
9138
 
4.6%
393
 
3.1%
466
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
m1974
100.0%
Space Separator
ValueCountFrequency (%)
987
100.0%
Other Punctuation
ValueCountFrequency (%)
.14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common3976
66.8%
Latin1974
33.2%

Most frequent character per script

Common
ValueCountFrequency (%)
987
24.8%
1830
20.9%
0574
14.4%
5349
 
8.8%
2295
 
7.4%
6263
 
6.6%
7202
 
5.1%
8165
 
4.1%
9138
 
3.5%
393
 
2.3%
Other values (2)80
 
2.0%
Latin
ValueCountFrequency (%)
m1974
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m1974
33.2%
987
16.6%
1830
13.9%
0574
 
9.6%
5349
 
5.9%
2295
 
5.0%
6263
 
4.4%
7202
 
3.4%
8165
 
2.8%
9138
 
2.3%
Other values (3)173
 
2.9%

Front_Brakes
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)0.2%
Missing25
Missing (%)2.0%
Memory size10.1 KiB
Ventilated Disc
1167 
Solid Disc
 
74
Drum
 
10

Length

Max length15
Median length15
Mean length14.61630695
Min length4

Characters and Unicode

Total characters18285
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDrum
2nd rowDrum
3rd rowDrum
4th rowDrum
5th rowDrum

Common Values

ValueCountFrequency (%)
Ventilated Disc1167
91.5%
Solid Disc74
 
5.8%
Drum10
 
0.8%
(Missing)25
 
2.0%

Length

2022-05-07T18:31:12.946013image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:13.291777image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
disc1241
49.8%
ventilated1167
46.8%
solid74
 
3.0%
drum10
 
0.4%

Most occurring characters

ValueCountFrequency (%)
i2482
13.6%
t2334
12.8%
e2334
12.8%
D1251
6.8%
1241
6.8%
c1241
6.8%
l1241
6.8%
s1241
6.8%
d1241
6.8%
V1167
6.4%
Other values (7)2512
13.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter14552
79.6%
Uppercase Letter2492
 
13.6%
Space Separator1241
 
6.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i2482
17.1%
t2334
16.0%
e2334
16.0%
c1241
8.5%
l1241
8.5%
s1241
8.5%
d1241
8.5%
a1167
8.0%
n1167
8.0%
o74
 
0.5%
Other values (3)30
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
D1251
50.2%
V1167
46.8%
S74
 
3.0%
Space Separator
ValueCountFrequency (%)
1241
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin17044
93.2%
Common1241
 
6.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i2482
14.6%
t2334
13.7%
e2334
13.7%
D1251
7.3%
c1241
7.3%
l1241
7.3%
s1241
7.3%
d1241
7.3%
V1167
6.8%
a1167
6.8%
Other values (6)1345
7.9%
Common
ValueCountFrequency (%)
1241
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII18285
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i2482
13.6%
t2334
12.8%
e2334
12.8%
D1251
6.8%
1241
6.8%
c1241
6.8%
l1241
6.8%
s1241
6.8%
d1241
6.8%
V1167
6.4%
Other values (7)2512
13.7%

Rear_Brakes
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)0.2%
Missing25
Missing (%)2.0%
Memory size10.1 KiB
Drum
782 
Ventilated Disc
425 
Solid Disc
 
44

Length

Max length15
Median length4
Mean length7.948041567
Min length4

Characters and Unicode

Total characters9943
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDrum
2nd rowDrum
3rd rowDrum
4th rowDrum
5th rowDrum

Common Values

ValueCountFrequency (%)
Drum782
61.3%
Ventilated Disc425
33.3%
Solid Disc44
 
3.4%
(Missing)25
 
2.0%

Length

2022-05-07T18:31:13.634050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:13.981364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
drum782
45.5%
disc469
27.3%
ventilated425
24.7%
solid44
 
2.6%

Most occurring characters

ValueCountFrequency (%)
D1251
12.6%
i938
9.4%
e850
 
8.5%
t850
 
8.5%
u782
 
7.9%
m782
 
7.9%
r782
 
7.9%
l469
 
4.7%
d469
 
4.7%
469
 
4.7%
Other values (7)2301
23.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7754
78.0%
Uppercase Letter1720
 
17.3%
Space Separator469
 
4.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i938
12.1%
e850
11.0%
t850
11.0%
u782
10.1%
m782
10.1%
r782
10.1%
l469
6.0%
d469
6.0%
s469
6.0%
c469
6.0%
Other values (3)894
11.5%
Uppercase Letter
ValueCountFrequency (%)
D1251
72.7%
V425
 
24.7%
S44
 
2.6%
Space Separator
ValueCountFrequency (%)
469
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9474
95.3%
Common469
 
4.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
D1251
13.2%
i938
9.9%
e850
9.0%
t850
9.0%
u782
8.3%
m782
8.3%
r782
8.3%
l469
 
5.0%
d469
 
5.0%
s469
 
5.0%
Other values (6)1832
19.3%
Common
ValueCountFrequency (%)
469
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII9943
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
D1251
12.6%
i938
9.4%
e850
 
8.5%
t850
 
8.5%
u782
 
7.9%
m782
 
7.9%
r782
 
7.9%
l469
 
4.7%
d469
 
4.7%
469
 
4.7%
Other values (7)2301
23.1%

Front_Suspension
Categorical

HIGH CARDINALITY
MISSING

Distinct140
Distinct (%)11.5%
Missing59
Missing (%)4.6%
Memory size10.1 KiB
MacPherson Strut
119 
McPherson Strut
89 
McPherson Strut, Coil Spring
 
54
Independent McPherson
 
53
McPherson strut with coil spring
 
53
Other values (135)
849 

Length

Max length195
Median length112
Mean length39.663106
Min length7

Characters and Unicode

Total characters48270
Distinct characters60
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)2.5%

Sample

1st rowIndependent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar
2nd rowIndependent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar
3rd rowIndependent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar
4th rowIndependent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar
5th rowIndependent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll bar

Common Values

ValueCountFrequency (%)
MacPherson Strut119
 
9.3%
McPherson Strut89
 
7.0%
McPherson Strut, Coil Spring54
 
4.2%
Independent McPherson53
 
4.2%
McPherson strut with coil spring53
 
4.2%
Macpherson strut with Coil Spring47
 
3.7%
MacPherson Strut with anti-roll bar36
 
2.8%
Double wishbone34
 
2.7%
McPherson suspension with lower triangular links and torsion stabiliser32
 
2.5%
McPherson Strut with Coil Spring Rear30
 
2.4%
Other values (130)670
52.5%
(Missing)59
 
4.6%

Length

2022-05-07T18:31:14.374331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
strut665
 
9.8%
with657
 
9.7%
coil508
 
7.5%
mcpherson500
 
7.4%
spring430
 
6.4%
macpherson269
 
4.0%
independent242
 
3.6%
bar234
 
3.5%
suspension196
 
2.9%
double179
 
2.6%
Other values (175)2887
42.7%

Most occurring characters

ValueCountFrequency (%)
5550
 
11.5%
n3602
 
7.5%
r3478
 
7.2%
t3426
 
7.1%
e3411
 
7.1%
i3377
 
7.0%
s3302
 
6.8%
o2847
 
5.9%
h1898
 
3.9%
l1802
 
3.7%
Other values (50)15577
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter37681
78.1%
Space Separator5550
 
11.5%
Uppercase Letter4278
 
8.9%
Other Punctuation408
 
0.8%
Dash Punctuation304
 
0.6%
Decimal Number35
 
0.1%
Close Punctuation7
 
< 0.1%
Open Punctuation7
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n3602
9.6%
r3478
 
9.2%
t3426
 
9.1%
e3411
 
9.1%
i3377
 
9.0%
s3302
 
8.8%
o2847
 
7.6%
h1898
 
5.0%
l1802
 
4.8%
a1733
 
4.6%
Other values (15)8805
23.4%
Uppercase Letter
ValueCountFrequency (%)
M879
20.5%
S861
20.1%
P799
18.7%
C308
 
7.2%
D301
 
7.0%
I261
 
6.1%
A172
 
4.0%
W137
 
3.2%
T110
 
2.6%
L101
 
2.4%
Other values (12)349
 
8.2%
Other Punctuation
ValueCountFrequency (%)
,282
69.1%
&50
 
12.3%
.46
 
11.3%
/27
 
6.6%
;3
 
0.7%
Decimal Number
ValueCountFrequency (%)
418
51.4%
214
40.0%
52
 
5.7%
31
 
2.9%
Space Separator
ValueCountFrequency (%)
5550
100.0%
Dash Punctuation
ValueCountFrequency (%)
-304
100.0%
Close Punctuation
ValueCountFrequency (%)
)7
100.0%
Open Punctuation
ValueCountFrequency (%)
(7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin41959
86.9%
Common6311
 
13.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n3602
 
8.6%
r3478
 
8.3%
t3426
 
8.2%
e3411
 
8.1%
i3377
 
8.0%
s3302
 
7.9%
o2847
 
6.8%
h1898
 
4.5%
l1802
 
4.3%
a1733
 
4.1%
Other values (37)13083
31.2%
Common
ValueCountFrequency (%)
5550
87.9%
-304
 
4.8%
,282
 
4.5%
&50
 
0.8%
.46
 
0.7%
/27
 
0.4%
418
 
0.3%
214
 
0.2%
)7
 
0.1%
(7
 
0.1%
Other values (3)6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII48270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5550
 
11.5%
n3602
 
7.5%
r3478
 
7.2%
t3426
 
7.1%
e3411
 
7.1%
i3377
 
7.0%
s3302
 
6.8%
o2847
 
5.9%
h1898
 
3.9%
l1802
 
3.7%
Other values (50)15577
32.3%

Rear_Suspension
Categorical

HIGH CARDINALITY
MISSING

Distinct173
Distinct (%)14.1%
Missing46
Missing (%)3.6%
Memory size10.1 KiB
Torsion Beam
123 
Coupled Torsion Beam Axle
 
57
Twist Beam with Coil spring and Shock Absorber
 
53
Coupled Torsion Beam Axle with coil spring
 
50
Torsion Beam Coil Spring
 
37
Other values (168)
910 

Length

Max length157
Median length90.5
Mean length37.56585366
Min length7

Characters and Unicode

Total characters46206
Distinct characters62
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)3.1%

Sample

1st rowIndependent, Semi Trailing arm with coil spring & gas filled shock absorbers
2nd rowIndependent, Semi Trailing arm with coil spring & gas filled shock absorbers
3rd rowIndependent, Semi Trailing arm with coil spring & gas filled shock absorbers
4th rowIndependent, Semi Trailing arm with coil spring & gas filled shock absorbers
5th rowIndependent, Semi Trailing arm with coil spring & gas filled shock absorbers

Common Values

ValueCountFrequency (%)
Torsion Beam123
 
9.6%
Coupled Torsion Beam Axle57
 
4.5%
Twist Beam with Coil spring and Shock Absorber53
 
4.2%
Coupled Torsion Beam Axle with coil spring50
 
3.9%
Torsion Beam Coil Spring37
 
2.9%
Coupled Torsion Beam Axle (CTBA) with coil spring34
 
2.7%
Semi-independent twist beam with twin gas and oil filled shock absorbers31
 
2.4%
Twist beam suspension with coil spring27
 
2.1%
Multilink Type with Coil Spring26
 
2.0%
Multi-link suspension, coil springs, twin-tube gas-filled shock absorbers, stabiliser bar25
 
2.0%
Other values (163)767
60.1%
(Missing)46
 
3.6%

Length

2022-05-07T18:31:14.829080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
beam634
 
9.3%
with561
 
8.2%
coil516
 
7.6%
torsion478
 
7.0%
spring461
 
6.8%
axle279
 
4.1%
suspension220
 
3.2%
shock188
 
2.8%
and182
 
2.7%
twist175
 
2.6%
Other values (198)3126
45.8%

Most occurring characters

ValueCountFrequency (%)
5590
 
12.1%
i4553
 
9.9%
e3249
 
7.0%
n3122
 
6.8%
s2820
 
6.1%
o2807
 
6.1%
l2407
 
5.2%
r2379
 
5.1%
a2090
 
4.5%
t1981
 
4.3%
Other values (52)15208
32.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter35735
77.3%
Space Separator5590
 
12.1%
Uppercase Letter3815
 
8.3%
Dash Punctuation503
 
1.1%
Other Punctuation391
 
0.8%
Decimal Number94
 
0.2%
Open Punctuation39
 
0.1%
Close Punctuation39
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i4553
12.7%
e3249
 
9.1%
n3122
 
8.7%
s2820
 
7.9%
o2807
 
7.9%
l2407
 
6.7%
r2379
 
6.7%
a2090
 
5.8%
t1981
 
5.5%
p1468
 
4.1%
Other values (15)8859
24.8%
Uppercase Letter
ValueCountFrequency (%)
T775
20.3%
S582
15.3%
B550
14.4%
A504
13.2%
C501
13.1%
M181
 
4.7%
L134
 
3.5%
I122
 
3.2%
H95
 
2.5%
D95
 
2.5%
Other values (11)276
 
7.2%
Other Punctuation
ValueCountFrequency (%)
,291
74.4%
&49
 
12.5%
;29
 
7.4%
/8
 
2.0%
.8
 
2.0%
:4
 
1.0%
#2
 
0.5%
Decimal Number
ValueCountFrequency (%)
436
38.3%
526
27.7%
320
21.3%
210
 
10.6%
92
 
2.1%
Space Separator
ValueCountFrequency (%)
5590
100.0%
Dash Punctuation
ValueCountFrequency (%)
-503
100.0%
Open Punctuation
ValueCountFrequency (%)
(39
100.0%
Close Punctuation
ValueCountFrequency (%)
)39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin39550
85.6%
Common6656
 
14.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
i4553
 
11.5%
e3249
 
8.2%
n3122
 
7.9%
s2820
 
7.1%
o2807
 
7.1%
l2407
 
6.1%
r2379
 
6.0%
a2090
 
5.3%
t1981
 
5.0%
p1468
 
3.7%
Other values (36)12674
32.0%
Common
ValueCountFrequency (%)
5590
84.0%
-503
 
7.6%
,291
 
4.4%
&49
 
0.7%
(39
 
0.6%
)39
 
0.6%
436
 
0.5%
;29
 
0.4%
526
 
0.4%
320
 
0.3%
Other values (6)34
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII46206
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5590
 
12.1%
i4553
 
9.9%
e3249
 
7.0%
n3122
 
6.8%
s2820
 
6.1%
o2807
 
6.1%
l2407
 
5.2%
r2379
 
5.1%
a2090
 
4.5%
t1981
 
4.3%
Other values (52)15208
32.9%

Front_Track
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct99
Distinct (%)16.3%
Missing667
Missing (%)52.3%
Memory size10.1 KiB
1490 mm
 
46
1600 mm
 
28
1540 mm
 
27
1479 mm
 
26
1505 mm
 
22
Other values (94)
460 

Length

Max length14
Median length7
Mean length7.039408867
Min length6

Characters and Unicode

Total characters4287
Distinct characters17
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)2.8%

Sample

1st row1325 mm
2nd row1325 mm
3rd row1325 mm
4th row1325 mm
5th row1325 mm

Common Values

ValueCountFrequency (%)
1490 mm46
 
3.6%
1600 mm28
 
2.2%
1540 mm27
 
2.1%
1479 mm26
 
2.0%
1505 mm22
 
1.7%
1420 mm21
 
1.6%
1460 mm21
 
1.6%
1560 mm19
 
1.5%
1440 mm18
 
1.4%
1295 mm16
 
1.3%
Other values (89)365
28.6%
(Missing)667
52.3%

Length

2022-05-07T18:31:15.221303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
mm609
50.0%
149046
 
3.8%
160028
 
2.3%
154027
 
2.2%
147926
 
2.1%
150522
 
1.8%
142021
 
1.7%
146021
 
1.7%
156019
 
1.6%
144018
 
1.5%
Other values (91)382
31.3%

Most occurring characters

ValueCountFrequency (%)
m1218
28.4%
1659
15.4%
610
14.2%
0357
 
8.3%
5346
 
8.1%
4291
 
6.8%
6267
 
6.2%
9160
 
3.7%
2130
 
3.0%
7103
 
2.4%
Other values (7)146
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2446
57.1%
Lowercase Letter1218
28.4%
Space Separator610
 
14.2%
Other Punctuation10
 
0.2%
Open Punctuation1
 
< 0.1%
Uppercase Letter1
 
< 0.1%
Close Punctuation1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1659
26.9%
0357
14.6%
5346
14.1%
4291
11.9%
6267
10.9%
9160
 
6.5%
2130
 
5.3%
7103
 
4.2%
883
 
3.4%
350
 
2.0%
Other Punctuation
ValueCountFrequency (%)
.9
90.0%
,1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
m1218
100.0%
Space Separator
ValueCountFrequency (%)
610
100.0%
Open Punctuation
ValueCountFrequency (%)
(1
100.0%
Uppercase Letter
ValueCountFrequency (%)
R1
100.0%
Close Punctuation
ValueCountFrequency (%)
)1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common3068
71.6%
Latin1219
 
28.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1659
21.5%
610
19.9%
0357
11.6%
5346
11.3%
4291
9.5%
6267
8.7%
9160
 
5.2%
2130
 
4.2%
7103
 
3.4%
883
 
2.7%
Other values (5)62
 
2.0%
Latin
ValueCountFrequency (%)
m1218
99.9%
R1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII4287
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m1218
28.4%
1659
15.4%
610
14.2%
0357
 
8.3%
5346
 
8.1%
4291
 
6.8%
6267
 
6.2%
9160
 
3.7%
2130
 
3.0%
7103
 
2.4%
Other values (7)146
 
3.4%

Rear_Track
Categorical

HIGH CARDINALITY
MISSING

Distinct105
Distinct (%)17.5%
Missing676
Missing (%)53.0%
Memory size10.1 KiB
1540 mm
 
29
1493 mm
 
27
1600 mm
 
24
1490 mm
 
22
1290 mm
 
21
Other values (100)
477 

Length

Max length14
Median length7
Mean length7.041666667
Min length7

Characters and Unicode

Total characters4225
Distinct characters17
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)2.8%

Sample

1st row1315 mm
2nd row1315 mm
3rd row1315 mm
4th row1315 mm
5th row1315 mm

Common Values

ValueCountFrequency (%)
1540 mm29
 
2.3%
1493 mm27
 
2.1%
1600 mm24
 
1.9%
1490 mm22
 
1.7%
1290 mm21
 
1.6%
1410 mm21
 
1.6%
1445 mm18
 
1.4%
1456 mm18
 
1.4%
1567 mm15
 
1.2%
1500 mm15
 
1.2%
Other values (95)390
30.6%
(Missing)676
53.0%

Length

2022-05-07T18:31:15.580596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
mm600
50.0%
154029
 
2.4%
149327
 
2.2%
160024
 
2.0%
149022
 
1.8%
129021
 
1.7%
141021
 
1.7%
144518
 
1.5%
145618
 
1.5%
156715
 
1.2%
Other values (97)406
33.8%

Most occurring characters

ValueCountFrequency (%)
m1200
28.4%
1678
16.0%
601
14.2%
5355
 
8.4%
4323
 
7.6%
0299
 
7.1%
6278
 
6.6%
9121
 
2.9%
7106
 
2.5%
398
 
2.3%
Other values (7)166
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2411
57.1%
Lowercase Letter1200
28.4%
Space Separator601
 
14.2%
Other Punctuation10
 
0.2%
Open Punctuation1
 
< 0.1%
Uppercase Letter1
 
< 0.1%
Close Punctuation1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1678
28.1%
5355
14.7%
4323
13.4%
0299
12.4%
6278
11.5%
9121
 
5.0%
7106
 
4.4%
398
 
4.1%
284
 
3.5%
869
 
2.9%
Other Punctuation
ValueCountFrequency (%)
.9
90.0%
,1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
m1200
100.0%
Space Separator
ValueCountFrequency (%)
601
100.0%
Open Punctuation
ValueCountFrequency (%)
(1
100.0%
Uppercase Letter
ValueCountFrequency (%)
R1
100.0%
Close Punctuation
ValueCountFrequency (%)
)1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common3024
71.6%
Latin1201
 
28.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1678
22.4%
601
19.9%
5355
11.7%
4323
10.7%
0299
9.9%
6278
9.2%
9121
 
4.0%
7106
 
3.5%
398
 
3.2%
284
 
2.8%
Other values (5)81
 
2.7%
Latin
ValueCountFrequency (%)
m1200
99.9%
R1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII4225
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m1200
28.4%
1678
16.0%
601
14.2%
5355
 
8.4%
4323
 
7.6%
0299
 
7.1%
6278
 
6.6%
9121
 
2.9%
7106
 
2.5%
398
 
2.3%
Other values (7)166
 
3.9%

Front_Tyre_&_Rim
Categorical

HIGH CARDINALITY
MISSING

Distinct234
Distinct (%)19.1%
Missing49
Missing (%)3.8%
Memory size10.1 KiB
185/60R15
 
66
185/65R15
 
43
175/65R14
 
38
165/70R14
 
32
205/65R16
 
28
Other values (229)
1020 

Length

Max length54
Median length9
Mean length9.685411573
Min length3

Characters and Unicode

Total characters11884
Distinct characters48
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)6.0%

Sample

1st row135/70R12
2nd row135/70R12
3rd row135/70R12
4th row135/70R12
5th row135/70R12

Common Values

ValueCountFrequency (%)
185/60R1566
 
5.2%
185/65R1543
 
3.4%
175/65R1438
 
3.0%
165/70R1432
 
2.5%
205/65R1628
 
2.2%
165/80R1427
 
2.1%
195/55R1626
 
2.0%
195/60 R1625
 
2.0%
185/65R1425
 
2.0%
205/55R1624
 
1.9%
Other values (224)893
70.0%
(Missing)49
 
3.8%

Length

2022-05-07T18:31:15.941945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
r16135
 
6.8%
121
 
6.1%
r1775
 
3.8%
r1569
 
3.5%
6067
 
3.4%
185/60r1566
 
3.3%
r1853
 
2.7%
r1450
 
2.5%
185/65r1543
 
2.2%
175/65r1438
 
1.9%
Other values (221)1278
64.1%

Most occurring characters

ValueCountFrequency (%)
52453
20.6%
11895
15.9%
R1220
10.3%
/1212
10.2%
61055
8.9%
768
 
6.5%
0765
 
6.4%
2747
 
6.3%
7438
 
3.7%
4415
 
3.5%
Other values (38)916
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number8535
71.8%
Uppercase Letter1314
 
11.1%
Other Punctuation1216
 
10.2%
Space Separator768
 
6.5%
Lowercase Letter49
 
0.4%
Open Punctuation2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l8
16.3%
e7
14.3%
a6
12.2%
s4
8.2%
c3
 
6.1%
k3
 
6.1%
i3
 
6.1%
o2
 
4.1%
t2
 
4.1%
h2
 
4.1%
Other values (8)9
18.4%
Uppercase Letter
ValueCountFrequency (%)
R1220
92.8%
P31
 
2.4%
Z30
 
2.3%
T10
 
0.8%
L9
 
0.7%
F3
 
0.2%
W2
 
0.2%
S2
 
0.2%
Y2
 
0.2%
B1
 
0.1%
Other values (4)4
 
0.3%
Decimal Number
ValueCountFrequency (%)
52453
28.7%
11895
22.2%
61055
12.4%
0765
 
9.0%
2747
 
8.8%
7438
 
5.1%
4415
 
4.9%
8372
 
4.4%
3215
 
2.5%
9180
 
2.1%
Other Punctuation
ValueCountFrequency (%)
/1212
99.7%
,2
 
0.2%
"1
 
0.1%
.1
 
0.1%
Space Separator
ValueCountFrequency (%)
768
100.0%
Open Punctuation
ValueCountFrequency (%)
(2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common10521
88.5%
Latin1363
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
R1220
89.5%
P31
 
2.3%
Z30
 
2.2%
T10
 
0.7%
L9
 
0.7%
l8
 
0.6%
e7
 
0.5%
a6
 
0.4%
s4
 
0.3%
c3
 
0.2%
Other values (22)35
 
2.6%
Common
ValueCountFrequency (%)
52453
23.3%
11895
18.0%
/1212
11.5%
61055
10.0%
768
 
7.3%
0765
 
7.3%
2747
 
7.1%
7438
 
4.2%
4415
 
3.9%
8372
 
3.5%
Other values (6)401
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII11884
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52453
20.6%
11895
15.9%
R1220
10.3%
/1212
10.2%
61055
8.9%
768
 
6.5%
0765
 
6.4%
2747
 
6.3%
7438
 
3.7%
4415
 
3.5%
Other values (38)916
 
7.7%

Rear_Tyre_&_Rim
Categorical

HIGH CARDINALITY
MISSING

Distinct241
Distinct (%)19.6%
Missing48
Missing (%)3.8%
Memory size10.1 KiB
185/60R15
 
66
185/65R15
 
43
175/65R14
 
38
165/70R14
 
32
205/65R16
 
28
Other values (236)
1021 

Length

Max length54
Median length9
Mean length9.68485342
Min length3

Characters and Unicode

Total characters11893
Distinct characters48
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)7.0%

Sample

1st row155/65R12
2nd row155/65R12
3rd row155/65R12
4th row155/65R12
5th row155/65R12

Common Values

ValueCountFrequency (%)
185/60R1566
 
5.2%
185/65R1543
 
3.4%
175/65R1438
 
3.0%
165/70R1432
 
2.5%
205/65R1628
 
2.2%
165/80R1427
 
2.1%
195/55R1626
 
2.0%
195/60 R1625
 
2.0%
185/65R1425
 
2.0%
205/55R1624
 
1.9%
Other values (231)894
70.1%
(Missing)48
 
3.8%

Length

2022-05-07T18:31:16.303380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
r16135
 
6.8%
120
 
6.0%
r1775
 
3.8%
r1570
 
3.5%
6070
 
3.5%
185/60r1566
 
3.3%
r1854
 
2.7%
r1450
 
2.5%
185/65r1543
 
2.2%
175/65r1438
 
1.9%
Other values (233)1275
63.9%

Most occurring characters

ValueCountFrequency (%)
52426
20.4%
11902
16.0%
R1221
10.3%
/1213
10.2%
61060
8.9%
0793
 
6.7%
768
 
6.5%
2725
 
6.1%
7445
 
3.7%
8385
 
3.2%
Other values (38)955
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number8542
71.8%
Uppercase Letter1315
 
11.1%
Other Punctuation1217
 
10.2%
Space Separator768
 
6.5%
Lowercase Letter49
 
0.4%
Open Punctuation2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l8
16.3%
e7
14.3%
a6
12.2%
s4
8.2%
k3
 
6.1%
c3
 
6.1%
i3
 
6.1%
d2
 
4.1%
h2
 
4.1%
o2
 
4.1%
Other values (8)9
18.4%
Uppercase Letter
ValueCountFrequency (%)
R1221
92.9%
P31
 
2.4%
Z30
 
2.3%
T10
 
0.8%
L9
 
0.7%
F3
 
0.2%
S2
 
0.2%
W2
 
0.2%
Y2
 
0.2%
A1
 
0.1%
Other values (4)4
 
0.3%
Decimal Number
ValueCountFrequency (%)
52426
28.4%
11902
22.3%
61060
12.4%
0793
 
9.3%
2725
 
8.5%
7445
 
5.2%
8385
 
4.5%
4372
 
4.4%
3245
 
2.9%
9189
 
2.2%
Other Punctuation
ValueCountFrequency (%)
/1213
99.7%
,2
 
0.2%
"1
 
0.1%
.1
 
0.1%
Space Separator
ValueCountFrequency (%)
768
100.0%
Open Punctuation
ValueCountFrequency (%)
(2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common10529
88.5%
Latin1364
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
R1221
89.5%
P31
 
2.3%
Z30
 
2.2%
T10
 
0.7%
L9
 
0.7%
l8
 
0.6%
e7
 
0.5%
a6
 
0.4%
s4
 
0.3%
k3
 
0.2%
Other values (22)35
 
2.6%
Common
ValueCountFrequency (%)
52426
23.0%
11902
18.1%
/1213
11.5%
61060
10.1%
0793
 
7.5%
768
 
7.3%
2725
 
6.9%
7445
 
4.2%
8385
 
3.7%
4372
 
3.5%
Other values (6)440
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII11893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52426
20.4%
11902
16.0%
R1221
10.3%
/1213
10.2%
61060
8.9%
0793
 
6.7%
768
 
6.5%
2725
 
6.1%
7445
 
3.7%
8385
 
3.2%
Other values (38)955
 
8.0%

Power_Steering
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)0.4%
Missing57
Missing (%)4.5%
Memory size10.1 KiB
Electric Power
924 
Electro-Hydraulic
137 
Yes
 
85
Hydraulic Power
 
72
Electric Power, Hydraulic Power
 
1

Length

Max length31
Median length14
Mean length13.64315012
Min length3

Characters and Unicode

Total characters16631
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowElectric Power
2nd rowElectric Power
3rd rowElectric Power
4th rowElectric Power
5th rowElectric Power

Common Values

ValueCountFrequency (%)
Electric Power924
72.4%
Electro-Hydraulic137
 
10.7%
Yes85
 
6.7%
Hydraulic Power72
 
5.6%
Electric Power, Hydraulic Power1
 
0.1%
(Missing)57
 
4.5%

Length

2022-05-07T18:31:16.647049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:17.007602image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
power998
45.0%
electric925
41.7%
electro-hydraulic137
 
6.2%
yes85
 
3.8%
hydraulic73
 
3.3%

Most occurring characters

ValueCountFrequency (%)
r2270
13.6%
c2197
13.2%
e2145
12.9%
l1272
7.6%
o1135
6.8%
i1135
6.8%
E1062
6.4%
t1062
6.4%
999
6.0%
w998
6.0%
Other values (10)2356
14.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter13139
79.0%
Uppercase Letter2355
 
14.2%
Space Separator999
 
6.0%
Dash Punctuation137
 
0.8%
Other Punctuation1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r2270
17.3%
c2197
16.7%
e2145
16.3%
l1272
9.7%
o1135
8.6%
i1135
8.6%
t1062
8.1%
w998
7.6%
y210
 
1.6%
d210
 
1.6%
Other values (3)505
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
E1062
45.1%
P998
42.4%
H210
 
8.9%
Y85
 
3.6%
Space Separator
ValueCountFrequency (%)
999
100.0%
Dash Punctuation
ValueCountFrequency (%)
-137
100.0%
Other Punctuation
ValueCountFrequency (%)
,1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin15494
93.2%
Common1137
 
6.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
r2270
14.7%
c2197
14.2%
e2145
13.8%
l1272
8.2%
o1135
7.3%
i1135
7.3%
E1062
6.9%
t1062
6.9%
w998
6.4%
P998
6.4%
Other values (7)1220
7.9%
Common
ValueCountFrequency (%)
999
87.9%
-137
 
12.0%
,1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII16631
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r2270
13.6%
c2197
13.2%
e2145
12.9%
l1272
7.6%
o1135
6.8%
i1135
6.8%
E1062
6.4%
t1062
6.4%
999
6.0%
w998
6.0%
Other values (10)2356
14.2%

Power_Windows
Categorical

HIGH CORRELATION
MISSING

Distinct2
Distinct (%)0.2%
Missing97
Missing (%)7.6%
Memory size10.1 KiB
All Windows
1035 
Only Front Windows
144 

Length

Max length18
Median length11
Mean length11.85496183
Min length11

Characters and Unicode

Total characters13977
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOnly Front Windows
2nd rowOnly Front Windows
3rd rowOnly Front Windows
4th rowOnly Front Windows
5th rowOnly Front Windows

Common Values

ValueCountFrequency (%)
All Windows1035
81.1%
Only Front Windows144
 
11.3%
(Missing)97
 
7.6%

Length

2022-05-07T18:31:17.353447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:17.697161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
windows1179
47.1%
all1035
41.4%
only144
 
5.8%
front144
 
5.8%

Most occurring characters

ValueCountFrequency (%)
l2214
15.8%
n1467
10.5%
1323
9.5%
o1323
9.5%
W1179
8.4%
i1179
8.4%
d1179
8.4%
w1179
8.4%
s1179
8.4%
A1035
7.4%
Other values (5)720
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter10152
72.6%
Uppercase Letter2502
 
17.9%
Space Separator1323
 
9.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l2214
21.8%
n1467
14.5%
o1323
13.0%
i1179
11.6%
d1179
11.6%
w1179
11.6%
s1179
11.6%
y144
 
1.4%
r144
 
1.4%
t144
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
W1179
47.1%
A1035
41.4%
O144
 
5.8%
F144
 
5.8%
Space Separator
ValueCountFrequency (%)
1323
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin12654
90.5%
Common1323
 
9.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
l2214
17.5%
n1467
11.6%
o1323
10.5%
W1179
9.3%
i1179
9.3%
d1179
9.3%
w1179
9.3%
s1179
9.3%
A1035
8.2%
O144
 
1.1%
Other values (4)576
 
4.6%
Common
ValueCountFrequency (%)
1323
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII13977
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l2214
15.8%
n1467
10.5%
1323
9.5%
o1323
9.5%
W1179
8.4%
i1179
8.4%
d1179
8.4%
w1179
8.4%
s1179
8.4%
A1035
7.4%
Other values (5)720
 
5.2%

Power_Seats
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)0.8%
Missing893
Missing (%)70.0%
Memory size10.1 KiB
Yes
209 
Yes, with memory
108 
Power seats
66 

Length

Max length16
Median length3
Mean length8.044386423
Min length3

Characters and Unicode

Total characters3081
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowPower seats
3rd rowYes
4th rowYes
5th rowYes, with memory

Common Values

ValueCountFrequency (%)
Yes209
 
16.4%
Yes, with memory108
 
8.5%
Power seats66
 
5.2%
(Missing)893
70.0%

Length

2022-05-07T18:31:18.027483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:18.404516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
yes317
47.7%
with108
 
16.2%
memory108
 
16.2%
power66
 
9.9%
seats66
 
9.9%

Most occurring characters

ValueCountFrequency (%)
e557
18.1%
s449
14.6%
Y317
10.3%
282
9.2%
m216
 
7.0%
w174
 
5.6%
t174
 
5.6%
o174
 
5.6%
r174
 
5.6%
,108
 
3.5%
Other values (5)456
14.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2308
74.9%
Uppercase Letter383
 
12.4%
Space Separator282
 
9.2%
Other Punctuation108
 
3.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e557
24.1%
s449
19.5%
m216
 
9.4%
w174
 
7.5%
t174
 
7.5%
o174
 
7.5%
r174
 
7.5%
i108
 
4.7%
h108
 
4.7%
y108
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
Y317
82.8%
P66
 
17.2%
Space Separator
ValueCountFrequency (%)
282
100.0%
Other Punctuation
ValueCountFrequency (%)
,108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2691
87.3%
Common390
 
12.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e557
20.7%
s449
16.7%
Y317
11.8%
m216
 
8.0%
w174
 
6.5%
t174
 
6.5%
o174
 
6.5%
r174
 
6.5%
i108
 
4.0%
h108
 
4.0%
Other values (3)240
8.9%
Common
ValueCountFrequency (%)
282
72.3%
,108
 
27.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII3081
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e557
18.1%
s449
14.6%
Y317
10.3%
282
9.2%
m216
 
7.0%
w174
 
5.6%
t174
 
5.6%
o174
 
5.6%
r174
 
5.6%
,108
 
3.5%
Other values (5)456
14.8%

Keyless_Entry
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)0.5%
Missing274
Missing (%)21.5%
Memory size10.1 KiB
Smart Key
456 
Remote
421 
Yes
103 
Remote, Smart Key
 
21
Smart Key, Remote
 
1

Length

Max length17
Median length9
Mean length7.298403194
Min length3

Characters and Unicode

Total characters7313
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowRemote
2nd rowRemote
3rd rowYes
4th rowRemote
5th rowRemote

Common Values

ValueCountFrequency (%)
Smart Key456
35.7%
Remote421
33.0%
Yes103
 
8.1%
Remote, Smart Key21
 
1.6%
Smart Key, Remote1
 
0.1%
(Missing)274
21.5%

Length

2022-05-07T18:31:18.732569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:19.094165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
smart478
31.8%
key478
31.8%
remote443
29.5%
yes103
 
6.9%

Most occurring characters

ValueCountFrequency (%)
e1467
20.1%
m921
12.6%
t921
12.6%
500
 
6.8%
S478
 
6.5%
a478
 
6.5%
r478
 
6.5%
K478
 
6.5%
y478
 
6.5%
R443
 
6.1%
Other values (4)671
9.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5289
72.3%
Uppercase Letter1502
 
20.5%
Space Separator500
 
6.8%
Other Punctuation22
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e1467
27.7%
m921
17.4%
t921
17.4%
a478
 
9.0%
r478
 
9.0%
y478
 
9.0%
o443
 
8.4%
s103
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
S478
31.8%
K478
31.8%
R443
29.5%
Y103
 
6.9%
Space Separator
ValueCountFrequency (%)
500
100.0%
Other Punctuation
ValueCountFrequency (%)
,22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6791
92.9%
Common522
 
7.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e1467
21.6%
m921
13.6%
t921
13.6%
S478
 
7.0%
a478
 
7.0%
r478
 
7.0%
K478
 
7.0%
y478
 
7.0%
R443
 
6.5%
o443
 
6.5%
Other values (2)206
 
3.0%
Common
ValueCountFrequency (%)
500
95.8%
,22
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII7313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e1467
20.1%
m921
12.6%
t921
12.6%
500
 
6.8%
S478
 
6.5%
a478
 
6.5%
r478
 
6.5%
K478
 
6.5%
y478
 
6.5%
R443
 
6.1%
Other values (4)671
9.2%

Power
Categorical

HIGH CARDINALITY

Distinct372
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
83PS@6000rpm
 
52
75PS@4000rpm
 
37
90PS@4000rpm
 
29
100PS@3750RPM
 
28
68PS@6000rpm
 
25
Other values (367)
1105 

Length

Max length23
Median length20
Mean length12.89811912
Min length4

Characters and Unicode

Total characters16458
Distinct characters29
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)14.5%

Sample

1st row38PS@5500rpm
2nd row38PS@5500rpm
3rd row38PS@5500rpm
4th row38PS@5500rpm
5th row38PS@5500rpm

Common Values

ValueCountFrequency (%)
83PS@6000rpm52
 
4.1%
75PS@4000rpm37
 
2.9%
90PS@4000rpm29
 
2.3%
100PS@3750RPM28
 
2.2%
68PS@6000rpm25
 
2.0%
100PS@3600rpm23
 
1.8%
86PS@6000rpm19
 
1.5%
90PS@6000rpm19
 
1.5%
155PS@3750rpm19
 
1.5%
68PS@5500rpm18
 
1.4%
Other values (362)1007
78.9%

Length

2022-05-07T18:31:19.470125image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
83ps@6000rpm52
 
3.7%
75ps@4000rpm37
 
2.6%
rpm34
 
2.4%
90ps@4000rpm29
 
2.1%
bhp28
 
2.0%
28
 
2.0%
100ps@3750rpm28
 
2.0%
68ps@6000rpm25
 
1.8%
100ps@3600rpm23
 
1.6%
86ps@6000rpm19
 
1.4%
Other values (380)1104
78.5%

Most occurring characters

ValueCountFrequency (%)
03514
21.4%
P1309
 
8.0%
@1257
 
7.6%
p1216
 
7.4%
S1067
 
6.5%
m1021
 
6.2%
r1020
 
6.2%
5973
 
5.9%
6787
 
4.8%
1724
 
4.4%
Other values (19)3570
21.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number8543
51.9%
Lowercase Letter3563
21.6%
Uppercase Letter2894
 
17.6%
Other Punctuation1287
 
7.8%
Space Separator131
 
0.8%
Dash Punctuation40
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
03514
41.1%
5973
 
11.4%
6787
 
9.2%
1724
 
8.5%
4570
 
6.7%
3552
 
6.5%
8447
 
5.2%
7407
 
4.8%
2351
 
4.1%
9218
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
P1309
45.2%
S1067
36.9%
R233
 
8.1%
M233
 
8.1%
B46
 
1.6%
H4
 
0.1%
W1
 
< 0.1%
N1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
p1216
34.1%
m1021
28.7%
r1020
28.6%
h173
 
4.9%
b104
 
2.9%
s28
 
0.8%
k1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
@1257
97.7%
.30
 
2.3%
Space Separator
ValueCountFrequency (%)
131
100.0%
Dash Punctuation
ValueCountFrequency (%)
-40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common10001
60.8%
Latin6457
39.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
P1309
20.3%
p1216
18.8%
S1067
16.5%
m1021
15.8%
r1020
15.8%
R233
 
3.6%
M233
 
3.6%
h173
 
2.7%
b104
 
1.6%
B46
 
0.7%
Other values (5)35
 
0.5%
Common
ValueCountFrequency (%)
03514
35.1%
@1257
 
12.6%
5973
 
9.7%
6787
 
7.9%
1724
 
7.2%
4570
 
5.7%
3552
 
5.5%
8447
 
4.5%
7407
 
4.1%
2351
 
3.5%
Other values (4)419
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII16458
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
03514
21.4%
P1309
 
8.0%
@1257
 
7.6%
p1216
 
7.4%
S1067
 
6.5%
m1021
 
6.2%
r1020
 
6.2%
5973
 
5.9%
6787
 
4.8%
1724
 
4.4%
Other values (19)3570
21.7%

Torque
Categorical

HIGH CARDINALITY

Distinct342
Distinct (%)26.8%
Missing2
Missing (%)0.2%
Memory size10.1 KiB
90Nm@3500rpm
 
42
200Nm@1750rpm
 
42
114Nm@4000rpm
 
27
350Nm@1750-2500rpm
 
26
104Nm@4000rpm
 
22
Other values (337)
1115 

Length

Max length22
Median length21
Mean length15.14364207
Min length4

Characters and Unicode

Total characters19293
Distinct characters28
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)11.6%

Sample

1st row51Nm@4000rpm
2nd row51Nm@4000rpm
3rd row51Nm@4000rpm
4th row51Nm@4000rpm
5th row51Nm@4000rpm

Common Values

ValueCountFrequency (%)
90Nm@3500rpm42
 
3.3%
200Nm@1750rpm42
 
3.3%
114Nm@4000rpm27
 
2.1%
350Nm@1750-2500rpm26
 
2.0%
104Nm@4000rpm22
 
1.7%
190NM@1750-2250RPM21
 
1.6%
250Nm@1500-2500rpm21
 
1.6%
190Nm@2000rpm19
 
1.5%
113Nm@4200RPM19
 
1.5%
110Nm@4800rpm18
 
1.4%
Other values (332)1017
79.7%

Length

2022-05-07T18:31:19.845041image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
90nm@3500rpm42
 
3.0%
200nm@1750rpm42
 
3.0%
rpm34
 
2.4%
29
 
2.1%
114nm@4000rpm27
 
1.9%
350nm@1750-2500rpm26
 
1.9%
nm22
 
1.6%
104nm@4000rpm22
 
1.6%
250nm@1500-2500rpm21
 
1.5%
190nm@1750-2250rpm21
 
1.5%
Other values (354)1117
79.6%

Most occurring characters

ValueCountFrequency (%)
04595
23.8%
m2251
11.7%
51339
 
6.9%
11323
 
6.9%
N1262
 
6.5%
@1255
 
6.5%
p1087
 
5.6%
r1085
 
5.6%
21066
 
5.5%
4807
 
4.2%
Other values (18)3223
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number11028
57.2%
Lowercase Letter4436
23.0%
Uppercase Letter1860
 
9.6%
Other Punctuation1271
 
6.6%
Dash Punctuation569
 
2.9%
Space Separator129
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
04595
41.7%
51339
 
12.1%
11323
 
12.0%
21066
 
9.7%
4807
 
7.3%
3659
 
6.0%
7508
 
4.6%
6275
 
2.5%
8245
 
2.2%
9211
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
m2251
50.7%
p1087
24.5%
r1085
24.5%
n4
 
0.1%
k3
 
0.1%
g3
 
0.1%
h2
 
< 0.1%
b1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N1262
67.8%
M268
 
14.4%
P164
 
8.8%
R164
 
8.8%
K1
 
0.1%
G1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
@1255
98.7%
.16
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
-569
100.0%
Space Separator
ValueCountFrequency (%)
129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common12997
67.4%
Latin6296
32.6%

Most frequent character per script

Common
ValueCountFrequency (%)
04595
35.4%
51339
 
10.3%
11323
 
10.2%
@1255
 
9.7%
21066
 
8.2%
4807
 
6.2%
3659
 
5.1%
-569
 
4.4%
7508
 
3.9%
6275
 
2.1%
Other values (4)601
 
4.6%
Latin
ValueCountFrequency (%)
m2251
35.8%
N1262
20.0%
p1087
17.3%
r1085
17.2%
M268
 
4.3%
P164
 
2.6%
R164
 
2.6%
n4
 
0.1%
k3
 
< 0.1%
g3
 
< 0.1%
Other values (4)5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII19293
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
04595
23.8%
m2251
11.7%
51339
 
6.9%
11323
 
6.9%
N1262
 
6.5%
@1255
 
6.5%
p1087
 
5.6%
r1085
 
5.6%
21066
 
5.5%
4807
 
4.2%
Other values (18)3223
16.7%

Odometer
Categorical

HIGH CORRELATION
MISSING

Distinct4
Distinct (%)0.3%
Missing43
Missing (%)3.4%
Memory size10.1 KiB
Digital
1059 
Analog
 
90
Yes
 
83
Digital, Analog
 
1

Length

Max length15
Median length7
Mean length6.664233577
Min length3

Characters and Unicode

Total characters8217
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowDigital
2nd rowDigital
3rd rowDigital
4th rowDigital
5th rowDigital

Common Values

ValueCountFrequency (%)
Digital1059
83.0%
Analog90
 
7.1%
Yes83
 
6.5%
Digital, Analog1
 
0.1%
(Missing)43
 
3.4%

Length

2022-05-07T18:31:20.206552image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:20.568108image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
digital1060
85.9%
analog91
 
7.4%
yes83
 
6.7%

Most occurring characters

ValueCountFrequency (%)
i2120
25.8%
g1151
14.0%
a1151
14.0%
l1151
14.0%
D1060
12.9%
t1060
12.9%
A91
 
1.1%
n91
 
1.1%
o91
 
1.1%
Y83
 
1.0%
Other values (4)168
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6981
85.0%
Uppercase Letter1234
 
15.0%
Other Punctuation1
 
< 0.1%
Space Separator1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i2120
30.4%
g1151
16.5%
a1151
16.5%
l1151
16.5%
t1060
15.2%
n91
 
1.3%
o91
 
1.3%
e83
 
1.2%
s83
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
D1060
85.9%
A91
 
7.4%
Y83
 
6.7%
Other Punctuation
ValueCountFrequency (%)
,1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8215
> 99.9%
Common2
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
i2120
25.8%
g1151
14.0%
a1151
14.0%
l1151
14.0%
D1060
12.9%
t1060
12.9%
A91
 
1.1%
n91
 
1.1%
o91
 
1.1%
Y83
 
1.0%
Other values (2)166
 
2.0%
Common
ValueCountFrequency (%)
,1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i2120
25.8%
g1151
14.0%
a1151
14.0%
l1151
14.0%
D1060
12.9%
t1060
12.9%
A91
 
1.1%
n91
 
1.1%
o91
 
1.1%
Y83
 
1.0%
Other values (4)168
 
2.0%

Speedometer
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)0.4%
Missing45
Missing (%)3.5%
Memory size10.1 KiB
Analog
982 
Digital
111 
Yes
 
79
Analog, Digital
 
57
Digital, Analog
 
2

Length

Max length15
Median length6
Mean length6.329000812
Min length3

Characters and Unicode

Total characters7791
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAnalog
2nd rowAnalog
3rd rowAnalog
4th rowAnalog
5th rowAnalog

Common Values

ValueCountFrequency (%)
Analog982
77.0%
Digital111
 
8.7%
Yes79
 
6.2%
Analog, Digital57
 
4.5%
Digital, Analog2
 
0.2%
(Missing)45
 
3.5%

Length

2022-05-07T18:31:20.896156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:21.257844image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
analog1041
80.7%
digital170
 
13.2%
yes79
 
6.1%

Most occurring characters

ValueCountFrequency (%)
a1211
15.5%
l1211
15.5%
g1211
15.5%
A1041
13.4%
n1041
13.4%
o1041
13.4%
i340
 
4.4%
D170
 
2.2%
t170
 
2.2%
Y79
 
1.0%
Other values (4)276
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6383
81.9%
Uppercase Letter1290
 
16.6%
Other Punctuation59
 
0.8%
Space Separator59
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a1211
19.0%
l1211
19.0%
g1211
19.0%
n1041
16.3%
o1041
16.3%
i340
 
5.3%
t170
 
2.7%
e79
 
1.2%
s79
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
A1041
80.7%
D170
 
13.2%
Y79
 
6.1%
Other Punctuation
ValueCountFrequency (%)
,59
100.0%
Space Separator
ValueCountFrequency (%)
59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7673
98.5%
Common118
 
1.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a1211
15.8%
l1211
15.8%
g1211
15.8%
A1041
13.6%
n1041
13.6%
o1041
13.6%
i340
 
4.4%
D170
 
2.2%
t170
 
2.2%
Y79
 
1.0%
Other values (2)158
 
2.1%
Common
ValueCountFrequency (%)
,59
50.0%
59
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7791
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a1211
15.5%
l1211
15.5%
g1211
15.5%
A1041
13.4%
n1041
13.4%
o1041
13.4%
i340
 
4.4%
D170
 
2.2%
t170
 
2.2%
Y79
 
1.0%
Other values (4)276
 
3.5%

Tachometer
Categorical

HIGH CORRELATION
MISSING

Distinct7
Distinct (%)0.6%
Missing13
Missing (%)1.0%
Memory size10.1 KiB
Analog
941 
Digital
112 
Yes
110 
Not on offer
 
72
Analog, Digital
 
22
Other values (2)
 
6

Length

Max length20
Median length6
Mean length6.372921615
Min length3

Characters and Unicode

Total characters8049
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot on offer
2nd rowNot on offer
3rd rowNot on offer
4th rowNot on offer
5th rowNot on offer

Common Values

ValueCountFrequency (%)
Analog941
73.7%
Digital112
 
8.8%
Yes110
 
8.6%
Not on offer72
 
5.6%
Analog, Digital22
 
1.7%
Digital, Analog5
 
0.4%
Analog, Not on offer1
 
0.1%
(Missing)13
 
1.0%

Length

2022-05-07T18:31:21.619283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:21.994241image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
analog969
67.4%
digital139
 
9.7%
yes110
 
7.7%
not73
 
5.1%
on73
 
5.1%
offer73
 
5.1%

Most occurring characters

ValueCountFrequency (%)
o1188
14.8%
a1108
13.8%
l1108
13.8%
g1108
13.8%
n1042
12.9%
A969
12.0%
i278
 
3.5%
t212
 
2.6%
e183
 
2.3%
174
 
2.2%
Other values (7)679
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6556
81.5%
Uppercase Letter1291
 
16.0%
Space Separator174
 
2.2%
Other Punctuation28
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o1188
18.1%
a1108
16.9%
l1108
16.9%
g1108
16.9%
n1042
15.9%
i278
 
4.2%
t212
 
3.2%
e183
 
2.8%
f146
 
2.2%
s110
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
A969
75.1%
D139
 
10.8%
Y110
 
8.5%
N73
 
5.7%
Space Separator
ValueCountFrequency (%)
174
100.0%
Other Punctuation
ValueCountFrequency (%)
,28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7847
97.5%
Common202
 
2.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o1188
15.1%
a1108
14.1%
l1108
14.1%
g1108
14.1%
n1042
13.3%
A969
12.3%
i278
 
3.5%
t212
 
2.7%
e183
 
2.3%
f146
 
1.9%
Other values (5)505
6.4%
Common
ValueCountFrequency (%)
174
86.1%
,28
 
13.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII8049
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o1188
14.8%
a1108
13.8%
l1108
13.8%
g1108
13.8%
n1042
12.9%
A969
12.0%
i278
 
3.5%
t212
 
2.6%
e183
 
2.3%
174
 
2.2%
Other values (7)679
8.4%

Tripmeter
Categorical

HIGH CORRELATION
MISSING

Distinct4
Distinct (%)0.3%
Missing60
Missing (%)4.7%
Memory size10.1 KiB
Yes
986 
2
197 
1
 
26
1, 2
 
7

Length

Max length4
Median length3
Mean length2.638980263
Min length1

Characters and Unicode

Total characters3209
Distinct characters7
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowYes
5th rowYes

Common Values

ValueCountFrequency (%)
Yes986
77.3%
2197
 
15.4%
126
 
2.0%
1, 27
 
0.5%
(Missing)60
 
4.7%

Length

2022-05-07T18:31:22.354933image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:23.313515image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
yes986
80.6%
2204
 
16.7%
133
 
2.7%

Most occurring characters

ValueCountFrequency (%)
Y986
30.7%
e986
30.7%
s986
30.7%
2204
 
6.4%
133
 
1.0%
,7
 
0.2%
7
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1972
61.5%
Uppercase Letter986
30.7%
Decimal Number237
 
7.4%
Other Punctuation7
 
0.2%
Space Separator7
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e986
50.0%
s986
50.0%
Decimal Number
ValueCountFrequency (%)
2204
86.1%
133
 
13.9%
Uppercase Letter
ValueCountFrequency (%)
Y986
100.0%
Other Punctuation
ValueCountFrequency (%)
,7
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2958
92.2%
Common251
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2204
81.3%
133
 
13.1%
,7
 
2.8%
7
 
2.8%
Latin
ValueCountFrequency (%)
Y986
33.3%
e986
33.3%
s986
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII3209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Y986
30.7%
e986
30.7%
s986
30.7%
2204
 
6.4%
133
 
1.0%
,7
 
0.2%
7
 
0.2%

Seating_Capacity
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct8
Distinct (%)0.6%
Missing6
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean5.27007874
Minimum2
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2022-05-07T18:31:23.625991image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q15
median5
Q35
95-th percentile7
Maximum16
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.145231313
Coefficient of variation (CV)0.2173081978
Kurtosis8.117682473
Mean5.27007874
Median Absolute Deviation (MAD)0
Skewness1.050641421
Sum6693
Variance1.311554761
MonotonicityNot monotonic
2022-05-07T18:31:23.954644image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5915
71.7%
7183
 
14.3%
470
 
5.5%
239
 
3.1%
626
 
2.0%
919
 
1.5%
817
 
1.3%
161
 
0.1%
(Missing)6
 
0.5%
ValueCountFrequency (%)
239
 
3.1%
470
 
5.5%
5915
71.7%
626
 
2.0%
7183
 
14.3%
817
 
1.3%
919
 
1.5%
161
 
0.1%
ValueCountFrequency (%)
161
 
0.1%
919
 
1.5%
817
 
1.3%
7183
 
14.3%
626
 
2.0%
5915
71.7%
470
 
5.5%
239
 
3.1%

Seats_Material
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)0.3%
Missing12
Missing (%)0.9%
Memory size10.1 KiB
Fabric
740 
Leather
511 
Vinyl
 
9
Polyurethene
 
4

Length

Max length12
Median length6
Mean length6.416139241
Min length5

Characters and Unicode

Total characters8110
Distinct characters17
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFabric
2nd rowFabric
3rd rowFabric
4th rowFabric
5th rowFabric

Common Values

ValueCountFrequency (%)
Fabric740
58.0%
Leather511
40.0%
Vinyl9
 
0.7%
Polyurethene4
 
0.3%
(Missing)12
 
0.9%

Length

2022-05-07T18:31:24.316347image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:24.673633image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
fabric740
58.5%
leather511
40.4%
vinyl9
 
0.7%
polyurethene4
 
0.3%

Most occurring characters

ValueCountFrequency (%)
r1255
15.5%
a1251
15.4%
e1034
12.7%
i749
9.2%
F740
9.1%
b740
9.1%
c740
9.1%
h515
6.4%
t515
6.4%
L511
6.3%
Other values (7)60
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6846
84.4%
Uppercase Letter1264
 
15.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r1255
18.3%
a1251
18.3%
e1034
15.1%
i749
10.9%
b740
10.8%
c740
10.8%
h515
7.5%
t515
7.5%
n13
 
0.2%
y13
 
0.2%
Other values (3)21
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F740
58.5%
L511
40.4%
V9
 
0.7%
P4
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Latin8110
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
r1255
15.5%
a1251
15.4%
e1034
12.7%
i749
9.2%
F740
9.1%
b740
9.1%
c740
9.1%
h515
6.4%
t515
6.4%
L511
6.3%
Other values (7)60
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII8110
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r1255
15.5%
a1251
15.4%
e1034
12.7%
i749
9.2%
F740
9.1%
b740
9.1%
c740
9.1%
h515
6.4%
t515
6.4%
L511
6.3%
Other values (7)60
 
0.7%

Type
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)0.4%
Missing1
Missing (%)0.1%
Memory size10.1 KiB
Manual
725 
Automatic
522 
AMT
 
18
DCT
 
7
CVT
 
3

Length

Max length9
Median length6
Mean length7.162352941
Min length3

Characters and Unicode

Total characters9132
Distinct characters15
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowManual
2nd rowManual
3rd rowManual
4th rowAutomatic
5th rowManual

Common Values

ValueCountFrequency (%)
Manual725
56.8%
Automatic522
40.9%
AMT18
 
1.4%
DCT7
 
0.5%
CVT3
 
0.2%
(Missing)1
 
0.1%

Length

2022-05-07T18:31:25.020384image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:25.381961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
manual725
56.9%
automatic522
40.9%
amt18
 
1.4%
dct7
 
0.5%
cvt3
 
0.2%

Most occurring characters

ValueCountFrequency (%)
a1972
21.6%
u1247
13.7%
t1044
11.4%
M743
 
8.1%
n725
 
7.9%
l725
 
7.9%
A540
 
5.9%
o522
 
5.7%
m522
 
5.7%
i522
 
5.7%
Other values (5)570
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7801
85.4%
Uppercase Letter1331
 
14.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a1972
25.3%
u1247
16.0%
t1044
13.4%
n725
 
9.3%
l725
 
9.3%
o522
 
6.7%
m522
 
6.7%
i522
 
6.7%
c522
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
M743
55.8%
A540
40.6%
T28
 
2.1%
C10
 
0.8%
D7
 
0.5%
V3
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Latin9132
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a1972
21.6%
u1247
13.7%
t1044
11.4%
M743
 
8.1%
n725
 
7.9%
l725
 
7.9%
A540
 
5.9%
o522
 
5.7%
m522
 
5.7%
i522
 
5.7%
Other values (5)570
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII9132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a1972
21.6%
u1247
13.7%
t1044
11.4%
M743
 
8.1%
n725
 
7.9%
l725
 
7.9%
A540
 
5.9%
o522
 
5.7%
m522
 
5.7%
i522
 
5.7%
Other values (5)570
 
6.2%

Wheelbase
Categorical

HIGH CARDINALITY
MISSING

Distinct153
Distinct (%)12.2%
Missing20
Missing (%)1.6%
Memory size10.1 KiB
2450 mm
 
85
2470 mm
 
49
2425 mm
 
48
2600 mm
 
47
2700 mm
 
41
Other values (148)
986 

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters8792
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)2.7%

Sample

1st row2230 mm
2nd row2230 mm
3rd row2230 mm
4th row2230 mm
5th row2230 mm

Common Values

ValueCountFrequency (%)
2450 mm85
 
6.7%
2470 mm49
 
3.8%
2425 mm48
 
3.8%
2600 mm47
 
3.7%
2700 mm41
 
3.2%
2750 mm29
 
2.3%
2498 mm27
 
2.1%
2673 mm27
 
2.1%
2636 mm27
 
2.1%
2490 mm27
 
2.1%
Other values (143)849
66.5%

Length

2022-05-07T18:31:25.710013image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
mm1256
50.0%
245085
 
3.4%
247049
 
2.0%
242548
 
1.9%
260047
 
1.9%
270041
 
1.6%
275029
 
1.2%
263627
 
1.1%
249027
 
1.1%
267327
 
1.1%
Other values (144)876
34.9%

Most occurring characters

ValueCountFrequency (%)
m2512
28.6%
21406
16.0%
1256
14.3%
0939
 
10.7%
5583
 
6.6%
4441
 
5.0%
6428
 
4.9%
7312
 
3.5%
3284
 
3.2%
9238
 
2.7%
Other values (2)393
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number5024
57.1%
Lowercase Letter2512
28.6%
Space Separator1256
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
21406
28.0%
0939
18.7%
5583
11.6%
4441
 
8.8%
6428
 
8.5%
7312
 
6.2%
3284
 
5.7%
9238
 
4.7%
8234
 
4.7%
1159
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
m2512
100.0%
Space Separator
ValueCountFrequency (%)
1256
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common6280
71.4%
Latin2512
 
28.6%

Most frequent character per script

Common
ValueCountFrequency (%)
21406
22.4%
1256
20.0%
0939
15.0%
5583
9.3%
4441
 
7.0%
6428
 
6.8%
7312
 
5.0%
3284
 
4.5%
9238
 
3.8%
8234
 
3.7%
Latin
ValueCountFrequency (%)
m2512
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m2512
28.6%
21406
16.0%
1256
14.3%
0939
 
10.7%
5583
 
6.6%
4441
 
5.0%
6428
 
4.9%
7312
 
3.5%
3284
 
3.2%
9238
 
2.7%
Other values (2)393
 
4.5%

Wheels_Size
Categorical

HIGH CARDINALITY
MISSING

Distinct209
Distinct (%)17.1%
Missing56
Missing (%)4.4%
Memory size10.1 KiB
185/60R15
 
67
185/65R15
 
43
175/65R14
 
38
165/70R14
 
32
205/65R16
 
28
Other values (204)
1012 

Length

Max length54
Median length9
Mean length8.840983607
Min length2

Characters and Unicode

Total characters10786
Distinct characters50
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)5.2%

Sample

1st row4 B X 12
2nd row4 B X 12
3rd row4 B X 12
4th row4 B X 12
5th row4 B X 12

Common Values

ValueCountFrequency (%)
185/60R1567
 
5.3%
185/65R1543
 
3.4%
175/65R1438
 
3.0%
165/70R1432
 
2.5%
205/65R1628
 
2.2%
165/80R1427
 
2.1%
195/55R1626
 
2.0%
205/55R1624
 
1.9%
215 / 60 R1623
 
1.8%
165/65R1422
 
1.7%
Other values (199)890
69.7%
(Missing)56
 
4.4%

Length

2022-05-07T18:31:26.071414image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
r16126
 
6.8%
92
 
5.0%
r1774
 
4.0%
185/60r1567
 
3.6%
r1561
 
3.3%
r1853
 
2.9%
6049
 
2.6%
r1447
 
2.5%
185/65r1543
 
2.3%
175/65r1438
 
2.0%
Other values (199)1207
65.0%

Most occurring characters

ValueCountFrequency (%)
52159
20.0%
11830
17.0%
R1156
10.7%
/1044
9.7%
6967
9.0%
0678
 
6.3%
2643
 
6.0%
637
 
5.9%
7413
 
3.8%
4350
 
3.2%
Other values (40)909
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number7722
71.6%
Uppercase Letter1257
 
11.7%
Other Punctuation1054
 
9.8%
Space Separator637
 
5.9%
Lowercase Letter114
 
1.1%
Open Punctuation2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e20
17.5%
l14
12.3%
c11
9.6%
h10
8.8%
i9
7.9%
n8
 
7.0%
s8
 
7.0%
t6
 
5.3%
x6
 
5.3%
o4
 
3.5%
Other values (9)18
15.8%
Uppercase Letter
ValueCountFrequency (%)
R1156
92.0%
P27
 
2.1%
Z26
 
2.1%
B10
 
0.8%
L7
 
0.6%
T7
 
0.6%
S6
 
0.5%
X6
 
0.5%
F3
 
0.2%
A3
 
0.2%
Other values (5)6
 
0.5%
Decimal Number
ValueCountFrequency (%)
52159
28.0%
11830
23.7%
6967
12.5%
0678
 
8.8%
2643
 
8.3%
7413
 
5.3%
4350
 
4.5%
8344
 
4.5%
3174
 
2.3%
9164
 
2.1%
Other Punctuation
ValueCountFrequency (%)
/1044
99.1%
.7
 
0.7%
,2
 
0.2%
"1
 
0.1%
Space Separator
ValueCountFrequency (%)
637
100.0%
Open Punctuation
ValueCountFrequency (%)
(2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common9415
87.3%
Latin1371
 
12.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
R1156
84.3%
P27
 
2.0%
Z26
 
1.9%
e20
 
1.5%
l14
 
1.0%
c11
 
0.8%
B10
 
0.7%
h10
 
0.7%
i9
 
0.7%
n8
 
0.6%
Other values (24)80
 
5.8%
Common
ValueCountFrequency (%)
52159
22.9%
11830
19.4%
/1044
11.1%
6967
10.3%
0678
 
7.2%
2643
 
6.8%
637
 
6.8%
7413
 
4.4%
4350
 
3.7%
8344
 
3.7%
Other values (6)350
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII10786
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52159
20.0%
11830
17.0%
R1156
10.7%
/1044
9.7%
6967
9.0%
0678
 
6.3%
2643
 
6.0%
637
 
5.9%
7413
 
3.8%
4350
 
3.2%
Other values (40)909
8.4%

Start_/_Stop_Button
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing678
Missing (%)53.1%
Memory size2.6 KiB
True
598 
(Missing)
678 
ValueCountFrequency (%)
True598
46.9%
(Missing)678
53.1%
2022-05-07T18:31:26.417311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

12v_Power_Outlet
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)0.4%
Missing154
Missing (%)12.1%
Memory size10.1 KiB
Yes
887 
2
133 
1
 
58
3
 
38
4
 
6

Length

Max length3
Median length3
Mean length2.581105169
Min length1

Characters and Unicode

Total characters2896
Distinct characters7
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowYes
5th rowYes

Common Values

ValueCountFrequency (%)
Yes887
69.5%
2133
 
10.4%
158
 
4.5%
338
 
3.0%
46
 
0.5%
(Missing)154
 
12.1%

Length

2022-05-07T18:31:26.745313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:27.106987image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
yes887
79.1%
2133
 
11.9%
158
 
5.2%
338
 
3.4%
46
 
0.5%

Most occurring characters

ValueCountFrequency (%)
Y887
30.6%
e887
30.6%
s887
30.6%
2133
 
4.6%
158
 
2.0%
338
 
1.3%
46
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1774
61.3%
Uppercase Letter887
30.6%
Decimal Number235
 
8.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2133
56.6%
158
24.7%
338
 
16.2%
46
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
e887
50.0%
s887
50.0%
Uppercase Letter
ValueCountFrequency (%)
Y887
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2661
91.9%
Common235
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2133
56.6%
158
24.7%
338
 
16.2%
46
 
2.6%
Latin
ValueCountFrequency (%)
Y887
33.3%
e887
33.3%
s887
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII2896
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Y887
30.6%
e887
30.6%
s887
30.6%
2133
 
4.6%
158
 
2.0%
338
 
1.3%
46
 
0.2%

Audiosystem
Categorical

HIGH CORRELATION
MISSING

Distinct8
Distinct (%)0.6%
Missing44
Missing (%)3.4%
Memory size10.1 KiB
CD Player with USB & Aux-in
440 
CD/MP3/DVD Player with USB & Aux-in
371 
Not on offer
213 
DVD Player with USB & Aux-in
101 
USB & Aux-in
84 
Other values (3)
 
23

Length

Max length35
Median length28
Mean length25.63474026
Min length12

Characters and Unicode

Total characters31582
Distinct characters30
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowCD Player with USB & Aux-in
2nd rowNot on offer
3rd rowNot on offer
4th rowCD Player with USB & Aux-in
5th rowNot on offer

Common Values

ValueCountFrequency (%)
CD Player with USB & Aux-in440
34.5%
CD/MP3/DVD Player with USB & Aux-in371
29.1%
Not on offer213
16.7%
DVD Player with USB & Aux-in101
 
7.9%
USB & Aux-in84
 
6.6%
CD/MP3 Player20
 
1.6%
CD Player with Aux-in2
 
0.2%
CD Player with USB Only1
 
0.1%
(Missing)44
 
3.4%

Length

2022-05-07T18:31:27.436074image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:27.826610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
aux-in998
15.6%
usb997
15.5%
996
15.5%
player935
14.6%
with915
14.3%
cd443
6.9%
cd/mp3/dvd371
 
5.8%
not213
 
3.3%
on213
 
3.3%
offer213
 
3.3%
Other values (3)122
 
1.9%

Most occurring characters

ValueCountFrequency (%)
5184
 
16.4%
i1913
 
6.1%
D1778
 
5.6%
P1326
 
4.2%
n1212
 
3.8%
e1148
 
3.6%
r1148
 
3.6%
t1128
 
3.6%
x998
 
3.2%
u998
 
3.2%
Other values (20)14749
46.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter14247
45.1%
Uppercase Letter9004
28.5%
Space Separator5184
 
16.4%
Other Punctuation1758
 
5.6%
Dash Punctuation998
 
3.2%
Decimal Number391
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i1913
13.4%
n1212
8.5%
e1148
 
8.1%
r1148
 
8.1%
t1128
 
7.9%
x998
 
7.0%
u998
 
7.0%
y936
 
6.6%
l936
 
6.6%
a935
 
6.6%
Other values (4)2895
20.3%
Uppercase Letter
ValueCountFrequency (%)
D1778
19.7%
P1326
14.7%
A998
11.1%
U997
11.1%
S997
11.1%
B997
11.1%
C834
9.3%
V472
 
5.2%
M391
 
4.3%
N213
 
2.4%
Other Punctuation
ValueCountFrequency (%)
&996
56.7%
/762
43.3%
Space Separator
ValueCountFrequency (%)
5184
100.0%
Dash Punctuation
ValueCountFrequency (%)
-998
100.0%
Decimal Number
ValueCountFrequency (%)
3391
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin23251
73.6%
Common8331
 
26.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
i1913
 
8.2%
D1778
 
7.6%
P1326
 
5.7%
n1212
 
5.2%
e1148
 
4.9%
r1148
 
4.9%
t1128
 
4.9%
x998
 
4.3%
u998
 
4.3%
A998
 
4.3%
Other values (15)10604
45.6%
Common
ValueCountFrequency (%)
5184
62.2%
-998
 
12.0%
&996
 
12.0%
/762
 
9.1%
3391
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII31582
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5184
 
16.4%
i1913
 
6.1%
D1778
 
5.6%
P1326
 
4.2%
n1212
 
3.8%
e1148
 
3.6%
r1148
 
3.6%
t1128
 
3.6%
x998
 
3.2%
u998
 
3.2%
Other values (20)14749
46.7%

Aux-in_Compatibility
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing284
Missing (%)22.3%
Memory size2.6 KiB
True
992 
(Missing)
284 
ValueCountFrequency (%)
True992
77.7%
(Missing)284
 
22.3%
2022-05-07T18:31:28.188138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Average_Fuel_Consumption
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing345
Missing (%)27.0%
Memory size2.6 KiB
True
931 
(Missing)
345 
ValueCountFrequency (%)
True931
73.0%
(Missing)345
 
27.0%
2022-05-07T18:31:28.487043image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Basic_Warranty
Categorical

HIGH CORRELATION
MISSING

Distinct28
Distinct (%)3.3%
Missing440
Missing (%)34.5%
Memory size10.1 KiB
2 years / Unlimited Kms
132 
3 years / Unlimited Kms
118 
2 years /40000 Kms (years/distance whichever comes first)
110 
3 years /100000 Kms (years/distance whichever comes first)
85 
3 Years/1,00,000 Kms (Whichever comes earlier)
77 
Other values (23)
314 

Length

Max length63
Median length60
Mean length41.89952153
Min length16

Characters and Unicode

Total characters35028
Distinct characters43
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2 years /75000 Kms (years/distance whichever comes first)
2nd row2 years /75000 Kms (years/distance whichever comes first)
3rd row2 years /75000 Kms (years/distance whichever comes first)
4th row2 years /75000 Kms (years/distance whichever comes first)
5th row2 years /75000 Kms (years/distance whichever comes first)

Common Values

ValueCountFrequency (%)
2 years / Unlimited Kms132
 
10.3%
3 years / Unlimited Kms118
 
9.2%
2 years /40000 Kms (years/distance whichever comes first)110
 
8.6%
3 years /100000 Kms (years/distance whichever comes first)85
 
6.7%
3 Years/1,00,000 Kms (Whichever comes earlier)77
 
6.0%
2 Years / 40,000 Kms (Whichever comes earlier)54
 
4.2%
2 Years / 100,000 Kms (whichever comes first)51
 
4.0%
2 years /75000 Kms (years/distance whichever comes first)31
 
2.4%
2 years /1,00,000 Kms (years/distance whichever comes first)30
 
2.4%
24 months /50000 Kms (whichever comes first)20
 
1.6%
Other values (18)128
 
10.0%
(Missing)440
34.5%

Length

2022-05-07T18:31:28.815092image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kms780
13.9%
years726
12.9%
whichever543
9.7%
comes522
9.3%
2466
8.3%
424
7.5%
first375
6.7%
3325
 
5.8%
years/distance293
 
5.2%
unlimited270
 
4.8%
Other values (33)901
16.0%

Most occurring characters

ValueCountFrequency (%)
4789
13.7%
e3626
 
10.4%
s3120
 
8.9%
02426
 
6.9%
r2416
 
6.9%
i1951
 
5.6%
m1623
 
4.6%
a1616
 
4.6%
c1358
 
3.9%
/1115
 
3.2%
Other values (33)10988
31.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter22254
63.5%
Space Separator4789
 
13.7%
Decimal Number3890
 
11.1%
Other Punctuation1513
 
4.3%
Uppercase Letter1496
 
4.3%
Close Punctuation543
 
1.6%
Open Punctuation543
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e3626
16.3%
s3120
14.0%
r2416
10.9%
i1951
8.8%
m1623
7.3%
a1616
7.3%
c1358
 
6.1%
h1112
 
5.0%
t993
 
4.5%
y893
 
4.0%
Other values (10)3546
15.9%
Decimal Number
ValueCountFrequency (%)
02426
62.4%
2486
 
12.5%
3332
 
8.5%
1284
 
7.3%
4199
 
5.1%
5102
 
2.6%
748
 
1.2%
88
 
0.2%
65
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
K804
53.7%
U270
 
18.0%
Y239
 
16.0%
W157
 
10.5%
M20
 
1.3%
L3
 
0.2%
B3
 
0.2%
Other Punctuation
ValueCountFrequency (%)
/1115
73.7%
,375
 
24.8%
*20
 
1.3%
.3
 
0.2%
Space Separator
ValueCountFrequency (%)
4789
100.0%
Close Punctuation
ValueCountFrequency (%)
)543
100.0%
Open Punctuation
ValueCountFrequency (%)
(543
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin23750
67.8%
Common11278
32.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e3626
15.3%
s3120
13.1%
r2416
10.2%
i1951
 
8.2%
m1623
 
6.8%
a1616
 
6.8%
c1358
 
5.7%
h1112
 
4.7%
t993
 
4.2%
y893
 
3.8%
Other values (17)5042
21.2%
Common
ValueCountFrequency (%)
4789
42.5%
02426
21.5%
/1115
 
9.9%
)543
 
4.8%
(543
 
4.8%
2486
 
4.3%
,375
 
3.3%
3332
 
2.9%
1284
 
2.5%
4199
 
1.8%
Other values (6)186
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII35028
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4789
13.7%
e3626
 
10.4%
s3120
 
8.9%
02426
 
6.9%
r2416
 
6.9%
i1951
 
5.6%
m1623
 
4.6%
a1616
 
4.6%
c1358
 
3.9%
/1115
 
3.2%
Other values (33)10988
31.4%

Bluetooth
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing292
Missing (%)22.9%
Memory size2.6 KiB
True
984 
(Missing)
292 
ValueCountFrequency (%)
True984
77.1%
(Missing)292
 
22.9%
2022-05-07T18:31:29.154139image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Boot-lid_Opener
Categorical

HIGH CORRELATION
MISSING

Distinct12
Distinct (%)1.0%
Missing14
Missing (%)1.1%
Memory size10.1 KiB
Internal
536 
With Remote, Internal
219 
Internal, With Remote
204 
Manual
171 
With Remote
64 
Other values (7)
68 

Length

Max length29
Median length21
Mean length12.81141046
Min length6

Characters and Unicode

Total characters16168
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowInternal
2nd rowInternal
3rd rowInternal
4th rowInternal
5th rowInternal

Common Values

ValueCountFrequency (%)
Internal536
42.0%
With Remote, Internal219
17.2%
Internal, With Remote204
 
16.0%
Manual171
 
13.4%
With Remote64
 
5.0%
Manual, With Remote26
 
2.0%
Manual, Internal22
 
1.7%
With Remote, Manual12
 
0.9%
With Remote, Manual, Internal3
 
0.2%
Internal, Manual3
 
0.2%
Other values (2)2
 
0.2%
(Missing)14
 
1.1%

Length

2022-05-07T18:31:29.482188image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
internal989
43.2%
with530
23.2%
remote530
23.2%
manual239
 
10.4%

Most occurring characters

ValueCountFrequency (%)
n2217
13.7%
t2049
12.7%
e2049
12.7%
a1467
9.1%
l1228
 
7.6%
1026
 
6.3%
I989
 
6.1%
r989
 
6.1%
R530
 
3.3%
o530
 
3.3%
Other values (7)3094
19.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter12358
76.4%
Uppercase Letter2288
 
14.2%
Space Separator1026
 
6.3%
Other Punctuation496
 
3.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n2217
17.9%
t2049
16.6%
e2049
16.6%
a1467
11.9%
l1228
9.9%
r989
8.0%
o530
 
4.3%
m530
 
4.3%
i530
 
4.3%
h530
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
I989
43.2%
R530
23.2%
W530
23.2%
M239
 
10.4%
Space Separator
ValueCountFrequency (%)
1026
100.0%
Other Punctuation
ValueCountFrequency (%)
,496
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin14646
90.6%
Common1522
 
9.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n2217
15.1%
t2049
14.0%
e2049
14.0%
a1467
10.0%
l1228
8.4%
I989
6.8%
r989
6.8%
R530
 
3.6%
o530
 
3.6%
m530
 
3.6%
Other values (5)2068
14.1%
Common
ValueCountFrequency (%)
1026
67.4%
,496
32.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII16168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n2217
13.7%
t2049
12.7%
e2049
12.7%
a1467
9.1%
l1228
 
7.6%
1026
 
6.3%
I989
 
6.1%
r989
 
6.1%
R530
 
3.3%
o530
 
3.3%
Other values (7)3094
19.1%

Boot_Space
Categorical

HIGH CARDINALITY
MISSING

Distinct138
Distinct (%)13.4%
Missing249
Missing (%)19.5%
Memory size10.1 KiB
350 litres
 
44
475 litres
 
35
460 litres
 
31
510 litres
 
30
251 litres
 
28
Other values (133)
859 

Length

Max length67
Median length10
Mean length10.48198637
Min length9

Characters and Unicode

Total characters10765
Distinct characters31
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)3.1%

Sample

1st row110 litres
2nd row110 litres
3rd row110 litres
4th row94 litres
5th row110 litres

Common Values

ValueCountFrequency (%)
350 litres44
 
3.4%
475 litres35
 
2.7%
460 litres31
 
2.4%
510 litres30
 
2.4%
251 litres28
 
2.2%
420 litres24
 
1.9%
256 litres22
 
1.7%
243 litres22
 
1.7%
400 litres21
 
1.6%
235 litres21
 
1.6%
Other values (128)749
58.7%
(Missing)249
 
19.5%

Length

2022-05-07T18:31:29.834011image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
litres1027
50.0%
35044
 
2.1%
47535
 
1.7%
46031
 
1.5%
51030
 
1.5%
25128
 
1.4%
42024
 
1.2%
25622
 
1.1%
24322
 
1.1%
40021
 
1.0%
Other values (129)770
37.5%

Most occurring characters

ValueCountFrequency (%)
l1063
9.9%
r1045
9.7%
e1045
9.7%
s1036
9.6%
1027
9.5%
i1027
9.5%
t1027
9.5%
0528
 
4.9%
5506
 
4.7%
2443
 
4.1%
Other values (21)2018
18.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6441
59.8%
Decimal Number3152
29.3%
Space Separator1027
 
9.5%
Uppercase Letter72
 
0.7%
Open Punctuation27
 
0.3%
Close Punctuation27
 
0.3%
Other Punctuation19
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l1063
16.5%
r1045
16.2%
e1045
16.2%
s1036
16.1%
i1027
15.9%
t1027
15.9%
d72
 
1.1%
o54
 
0.8%
w36
 
0.6%
n18
 
0.3%
Other values (2)18
 
0.3%
Decimal Number
ValueCountFrequency (%)
0528
16.8%
5506
16.1%
2443
14.1%
3426
13.5%
4414
13.1%
6192
 
6.1%
1179
 
5.7%
9158
 
5.0%
7154
 
4.9%
8152
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
R36
50.0%
F18
25.0%
A9
 
12.5%
U9
 
12.5%
Other Punctuation
ValueCountFrequency (%)
.10
52.6%
&9
47.4%
Space Separator
ValueCountFrequency (%)
1027
100.0%
Open Punctuation
ValueCountFrequency (%)
(27
100.0%
Close Punctuation
ValueCountFrequency (%)
)27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6513
60.5%
Common4252
39.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
l1063
16.3%
r1045
16.0%
e1045
16.0%
s1036
15.9%
i1027
15.8%
t1027
15.8%
d72
 
1.1%
o54
 
0.8%
R36
 
0.6%
w36
 
0.6%
Other values (6)72
 
1.1%
Common
ValueCountFrequency (%)
1027
24.2%
0528
12.4%
5506
11.9%
2443
10.4%
3426
10.0%
4414
9.7%
6192
 
4.5%
1179
 
4.2%
9158
 
3.7%
7154
 
3.6%
Other values (5)225
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII10765
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l1063
9.9%
r1045
9.7%
e1045
9.7%
s1036
9.6%
1027
9.5%
i1027
9.5%
t1027
9.5%
0528
 
4.9%
5506
 
4.7%
2443
 
4.1%
Other values (21)2018
18.7%

CD_/_MP3_/_DVD_Player
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing309
Missing (%)24.2%
Memory size2.6 KiB
True
967 
(Missing)
309 
ValueCountFrequency (%)
True967
75.8%
(Missing)309
 
24.2%
2022-05-07T18:31:30.179792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Central_Locking
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing149
Missing (%)11.7%
Memory size2.6 KiB
True
1127 
(Missing)
149 
ValueCountFrequency (%)
True1127
88.3%
(Missing)149
 
11.7%
2022-05-07T18:31:30.492221image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Child_Safety_Locks
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing75
Missing (%)5.9%
Memory size2.6 KiB
True
1201 
(Missing)
 
75
ValueCountFrequency (%)
True1201
94.1%
(Missing)75
 
5.9%
2022-05-07T18:31:30.806957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Clock
Categorical

HIGH CORRELATION
MISSING

Distinct4
Distinct (%)0.4%
Missing134
Missing (%)10.5%
Memory size10.1 KiB
Digital
1058 
Analog
 
41
Yes
 
39
Digital, Analog
 
4

Length

Max length15
Median length7
Mean length6.855516637
Min length3

Characters and Unicode

Total characters7829
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDigital
2nd rowDigital
3rd rowDigital
4th rowDigital
5th rowDigital

Common Values

ValueCountFrequency (%)
Digital1058
82.9%
Analog41
 
3.2%
Yes39
 
3.1%
Digital, Analog4
 
0.3%
(Missing)134
 
10.5%

Length

2022-05-07T18:31:31.122008image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:31.465681image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
digital1062
92.7%
analog45
 
3.9%
yes39
 
3.4%

Most occurring characters

ValueCountFrequency (%)
i2124
27.1%
g1107
14.1%
a1107
14.1%
l1107
14.1%
D1062
13.6%
t1062
13.6%
A45
 
0.6%
n45
 
0.6%
o45
 
0.6%
Y39
 
0.5%
Other values (4)86
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6675
85.3%
Uppercase Letter1146
 
14.6%
Other Punctuation4
 
0.1%
Space Separator4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i2124
31.8%
g1107
16.6%
a1107
16.6%
l1107
16.6%
t1062
15.9%
n45
 
0.7%
o45
 
0.7%
e39
 
0.6%
s39
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
D1062
92.7%
A45
 
3.9%
Y39
 
3.4%
Other Punctuation
ValueCountFrequency (%)
,4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7821
99.9%
Common8
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
i2124
27.2%
g1107
14.2%
a1107
14.2%
l1107
14.2%
D1062
13.6%
t1062
13.6%
A45
 
0.6%
n45
 
0.6%
o45
 
0.6%
Y39
 
0.5%
Other values (2)78
 
1.0%
Common
ValueCountFrequency (%)
,4
50.0%
4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7829
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i2124
27.1%
g1107
14.1%
a1107
14.1%
l1107
14.1%
D1062
13.6%
t1062
13.6%
A45
 
0.6%
n45
 
0.6%
o45
 
0.6%
Y39
 
0.5%
Other values (4)86
 
1.1%

Cup_Holders
Categorical

HIGH CORRELATION
MISSING

Distinct9
Distinct (%)0.7%
Missing41
Missing (%)3.2%
Memory size10.1 KiB
Front & Rear
591 
Front
459 
Yes
112 
Not on offer
 
51
Centre
 
14
Other values (4)
 
8

Length

Max length26
Median length12
Mean length8.567611336
Min length3

Characters and Unicode

Total characters10581
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowFront
2nd rowFront
3rd rowFront
4th rowFront
5th rowFront

Common Values

ValueCountFrequency (%)
Front & Rear591
46.3%
Front459
36.0%
Yes112
 
8.8%
Not on offer51
 
4.0%
Centre14
 
1.1%
Front, Front & Rear4
 
0.3%
Front & Rear, Centre2
 
0.2%
Centre, Front & Rear1
 
0.1%
Not on offer, Front & Rear1
 
0.1%
(Missing)41
 
3.2%

Length

2022-05-07T18:31:31.811091image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:32.203878image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
front1062
41.7%
599
23.5%
rear599
23.5%
yes112
 
4.4%
not52
 
2.0%
on52
 
2.0%
offer52
 
2.0%
centre17
 
0.7%

Most occurring characters

ValueCountFrequency (%)
r1730
16.4%
1310
12.4%
o1218
11.5%
n1131
10.7%
t1131
10.7%
F1062
10.0%
e797
7.5%
&599
 
5.7%
R599
 
5.7%
a599
 
5.7%
Other values (6)405
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6822
64.5%
Uppercase Letter1842
 
17.4%
Space Separator1310
 
12.4%
Other Punctuation607
 
5.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r1730
25.4%
o1218
17.9%
n1131
16.6%
t1131
16.6%
e797
11.7%
a599
 
8.8%
s112
 
1.6%
f104
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
F1062
57.7%
R599
32.5%
Y112
 
6.1%
N52
 
2.8%
C17
 
0.9%
Other Punctuation
ValueCountFrequency (%)
&599
98.7%
,8
 
1.3%
Space Separator
ValueCountFrequency (%)
1310
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8664
81.9%
Common1917
 
18.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
r1730
20.0%
o1218
14.1%
n1131
13.1%
t1131
13.1%
F1062
12.3%
e797
9.2%
R599
 
6.9%
a599
 
6.9%
Y112
 
1.3%
s112
 
1.3%
Other values (3)173
 
2.0%
Common
ValueCountFrequency (%)
1310
68.3%
&599
31.2%
,8
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII10581
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r1730
16.4%
1310
12.4%
o1218
11.5%
n1131
10.7%
t1131
10.7%
F1062
10.0%
e797
7.5%
&599
 
5.7%
R599
 
5.7%
a599
 
5.7%
Other values (6)405
 
3.8%

Distance_to_Empty
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing243
Missing (%)19.0%
Memory size2.6 KiB
True
1033 
(Missing)
243 
ValueCountFrequency (%)
True1033
81.0%
(Missing)243
 
19.0%
2022-05-07T18:31:32.563170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Door_Pockets
Categorical

HIGH CORRELATION
MISSING

Distinct4
Distinct (%)0.3%
Missing117
Missing (%)9.2%
Memory size10.1 KiB
Front & Rear
697 
Front
309 
Yes
145 
Front, Front & Rear
 
8

Length

Max length19
Median length12
Mean length9.05608283
Min length3

Characters and Unicode

Total characters10496
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFront
2nd rowFront
3rd rowFront
4th rowFront
5th rowFront

Common Values

ValueCountFrequency (%)
Front & Rear697
54.6%
Front309
24.2%
Yes145
 
11.4%
Front, Front & Rear8
 
0.6%
(Missing)117
 
9.2%

Length

2022-05-07T18:31:32.892411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:33.253898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
front1022
39.7%
705
27.4%
rear705
27.4%
yes145
 
5.6%

Most occurring characters

ValueCountFrequency (%)
r1727
16.5%
1418
13.5%
F1022
9.7%
o1022
9.7%
n1022
9.7%
t1022
9.7%
e850
8.1%
&705
6.7%
R705
6.7%
a705
6.7%
Other values (3)298
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6493
61.9%
Uppercase Letter1872
 
17.8%
Space Separator1418
 
13.5%
Other Punctuation713
 
6.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r1727
26.6%
o1022
15.7%
n1022
15.7%
t1022
15.7%
e850
13.1%
a705
10.9%
s145
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
F1022
54.6%
R705
37.7%
Y145
 
7.7%
Other Punctuation
ValueCountFrequency (%)
&705
98.9%
,8
 
1.1%
Space Separator
ValueCountFrequency (%)
1418
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8365
79.7%
Common2131
 
20.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
r1727
20.6%
F1022
12.2%
o1022
12.2%
n1022
12.2%
t1022
12.2%
e850
10.2%
R705
8.4%
a705
8.4%
Y145
 
1.7%
s145
 
1.7%
Common
ValueCountFrequency (%)
1418
66.5%
&705
33.1%
,8
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII10496
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r1727
16.5%
1418
13.5%
F1022
9.7%
o1022
9.7%
n1022
9.7%
t1022
9.7%
e850
8.1%
&705
6.7%
R705
6.7%
a705
6.7%
Other values (3)298
 
2.8%

Engine_Malfunction_Light
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing117
Missing (%)9.2%
Memory size2.6 KiB
True
1159 
(Missing)
117 
ValueCountFrequency (%)
True1159
90.8%
(Missing)117
 
9.2%
2022-05-07T18:31:33.581947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Extended_Warranty
Categorical

HIGH CORRELATION
MISSING

Distinct36
Distinct (%)5.9%
Missing661
Missing (%)51.8%
Memory size10.1 KiB
3rd/4th year/up to 80,000 Kms (whichever comes first)
110 
2 years /100000 Kms (years/distance whichever comes first)
40 
4th year /with (absolutely no mileage restriction)
39 
1 years /20000 Kms (years/distance whichever comes first)
 
35
2 Years/Unlimited Kms (Whichever comes earlier)
 
31
Other values (31)
360 

Length

Max length138
Median length68
Mean length52.94471545
Min length14

Characters and Unicode

Total characters32561
Distinct characters45
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row2 years /150000 Kms (years/distance whichever comes first)
2nd row2 years /150000 Kms (years/distance whichever comes first)
3rd row2 years /150000 Kms (years/distance whichever comes first)
4th row2 years /150000 Kms (years/distance whichever comes first)
5th row2 years /150000 Kms (years/distance whichever comes first)

Common Values

ValueCountFrequency (%)
3rd/4th year/up to 80,000 Kms (whichever comes first)110
 
8.6%
2 years /100000 Kms (years/distance whichever comes first)40
 
3.1%
4th year /with (absolutely no mileage restriction)39
 
3.1%
1 years /20000 Kms (years/distance whichever comes first)35
 
2.7%
2 Years/Unlimited Kms (Whichever comes earlier)31
 
2.4%
Up to 5 Year /30
 
2.4%
3 Years/Unlimited km Warranty*24
 
1.9%
12/24 months /2,00,000 Kms (Whichever comes earlier)23
 
1.8%
2 years / 100,000 kms (whichever occurs first)21
 
1.6%
4th years /1,20,000 Kms (years/distance whichever comes first)21
 
1.6%
Other values (26)241
 
18.9%
(Missing)661
51.8%

Length

2022-05-07T18:31:33.943476image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kms462
 
9.2%
whichever461
 
9.2%
comes437
 
8.7%
first351
 
7.0%
years327
 
6.5%
to216
 
4.3%
years/distance199
 
4.0%
2197
 
3.9%
year160
 
3.2%
158
 
3.1%
Other values (63)2054
40.9%

Most occurring characters

ValueCountFrequency (%)
4407
 
13.5%
e3156
 
9.7%
r2431
 
7.5%
s2267
 
7.0%
01959
 
6.0%
i1514
 
4.6%
t1482
 
4.6%
a1436
 
4.4%
h1266
 
3.9%
c1179
 
3.6%
Other values (35)11464
35.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter21274
65.3%
Space Separator4407
 
13.5%
Decimal Number3533
 
10.9%
Other Punctuation1343
 
4.1%
Uppercase Letter860
 
2.6%
Open Punctuation555
 
1.7%
Close Punctuation555
 
1.7%
Math Symbol34
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e3156
14.8%
r2431
11.4%
s2267
10.7%
i1514
 
7.1%
t1482
 
7.0%
a1436
 
6.8%
h1266
 
6.0%
c1179
 
5.5%
m1173
 
5.5%
o956
 
4.5%
Other values (13)4414
20.7%
Decimal Number
ValueCountFrequency (%)
01959
55.4%
2378
 
10.7%
1316
 
8.9%
4301
 
8.5%
3290
 
8.2%
8148
 
4.2%
5104
 
2.9%
729
 
0.8%
98
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
K445
51.7%
Y172
 
20.0%
W131
 
15.2%
U109
 
12.7%
M3
 
0.3%
Other Punctuation
ValueCountFrequency (%)
/968
72.1%
,334
 
24.9%
*24
 
1.8%
.17
 
1.3%
Space Separator
ValueCountFrequency (%)
4407
100.0%
Open Punctuation
ValueCountFrequency (%)
(555
100.0%
Close Punctuation
ValueCountFrequency (%)
)555
100.0%
Math Symbol
ValueCountFrequency (%)
+34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin22134
68.0%
Common10427
32.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e3156
14.3%
r2431
11.0%
s2267
10.2%
i1514
 
6.8%
t1482
 
6.7%
a1436
 
6.5%
h1266
 
5.7%
c1179
 
5.3%
m1173
 
5.3%
o956
 
4.3%
Other values (18)5274
23.8%
Common
ValueCountFrequency (%)
4407
42.3%
01959
18.8%
/968
 
9.3%
(555
 
5.3%
)555
 
5.3%
2378
 
3.6%
,334
 
3.2%
1316
 
3.0%
4301
 
2.9%
3290
 
2.8%
Other values (7)364
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII32561
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4407
 
13.5%
e3156
 
9.7%
r2431
 
7.5%
s2267
 
7.0%
01959
 
6.0%
i1514
 
4.6%
t1482
 
4.6%
a1436
 
4.4%
h1266
 
3.9%
c1179
 
3.6%
Other values (35)11464
35.2%

FM_Radio
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing249
Missing (%)19.5%
Memory size2.6 KiB
True
1027 
(Missing)
249 
ValueCountFrequency (%)
True1027
80.5%
(Missing)249
 
19.5%
2022-05-07T18:31:34.302306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Fuel-lid_Opener
Categorical

HIGH CORRELATION
MISSING

Distinct12
Distinct (%)1.0%
Missing14
Missing (%)1.1%
Memory size10.1 KiB
Internal
924 
Internal, With Remote
 
92
With Remote
 
77
Manual
 
62
With Remote, Internal
 
51
Other values (7)
 
56

Length

Max length35
Median length8
Mean length9.885895404
Min length6

Characters and Unicode

Total characters12476
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowInternal
2nd rowInternal
3rd rowInternal
4th rowInternal
5th rowInternal

Common Values

ValueCountFrequency (%)
Internal924
72.4%
Internal, With Remote92
 
7.2%
With Remote77
 
6.0%
Manual62
 
4.9%
With Remote, Internal51
 
4.0%
Push to Open27
 
2.1%
Internal, Manual15
 
1.2%
With Remote, Manual7
 
0.5%
Manual, Internal3
 
0.2%
With Remote, Push to Open, Internal2
 
0.2%
Other values (2)2
 
0.2%
(Missing)14
 
1.1%

Length

2022-05-07T18:31:34.623978image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
internal1088
63.0%
with230
 
13.3%
remote230
 
13.3%
manual87
 
5.0%
push31
 
1.8%
to31
 
1.8%
open31
 
1.8%

Most occurring characters

ValueCountFrequency (%)
n2294
18.4%
t1579
12.7%
e1579
12.7%
a1262
10.1%
l1175
9.4%
I1088
8.7%
r1088
8.7%
466
 
3.7%
o261
 
2.1%
h261
 
2.1%
Other values (11)1423
11.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter10139
81.3%
Uppercase Letter1697
 
13.6%
Space Separator466
 
3.7%
Other Punctuation174
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n2294
22.6%
t1579
15.6%
e1579
15.6%
a1262
12.4%
l1175
11.6%
r1088
10.7%
o261
 
2.6%
h261
 
2.6%
m230
 
2.3%
i230
 
2.3%
Other values (3)180
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
I1088
64.1%
R230
 
13.6%
W230
 
13.6%
M87
 
5.1%
P31
 
1.8%
O31
 
1.8%
Space Separator
ValueCountFrequency (%)
466
100.0%
Other Punctuation
ValueCountFrequency (%)
,174
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin11836
94.9%
Common640
 
5.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n2294
19.4%
t1579
13.3%
e1579
13.3%
a1262
10.7%
l1175
9.9%
I1088
9.2%
r1088
9.2%
o261
 
2.2%
h261
 
2.2%
R230
 
1.9%
Other values (9)1019
8.6%
Common
ValueCountFrequency (%)
466
72.8%
,174
 
27.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII12476
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n2294
18.4%
t1579
12.7%
e1579
12.7%
a1262
10.1%
l1175
9.4%
I1088
8.7%
r1088
8.7%
466
 
3.7%
o261
 
2.1%
h261
 
2.1%
Other values (11)1423
11.4%

Fuel_Gauge
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)0.4%
Missing39
Missing (%)3.1%
Memory size10.1 KiB
Digital
709 
Analog
443 
Yes
81 
Digital, Analog
 
3
Analog, Digital
 
1

Length

Max length15
Median length7
Mean length6.405820534
Min length3

Characters and Unicode

Total characters7924
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowDigital
2nd rowDigital
3rd rowDigital
4th rowDigital
5th rowDigital

Common Values

ValueCountFrequency (%)
Digital709
55.6%
Analog443
34.7%
Yes81
 
6.3%
Digital, Analog3
 
0.2%
Analog, Digital1
 
0.1%
(Missing)39
 
3.1%

Length

2022-05-07T18:31:34.978017image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:35.352272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
digital713
57.5%
analog447
36.0%
yes81
 
6.5%

Most occurring characters

ValueCountFrequency (%)
i1426
18.0%
g1160
14.6%
a1160
14.6%
l1160
14.6%
D713
9.0%
t713
9.0%
A447
 
5.6%
n447
 
5.6%
o447
 
5.6%
Y81
 
1.0%
Other values (4)170
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6675
84.2%
Uppercase Letter1241
 
15.7%
Other Punctuation4
 
0.1%
Space Separator4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i1426
21.4%
g1160
17.4%
a1160
17.4%
l1160
17.4%
t713
10.7%
n447
 
6.7%
o447
 
6.7%
e81
 
1.2%
s81
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
D713
57.5%
A447
36.0%
Y81
 
6.5%
Other Punctuation
ValueCountFrequency (%)
,4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7916
99.9%
Common8
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
i1426
18.0%
g1160
14.7%
a1160
14.7%
l1160
14.7%
D713
9.0%
t713
9.0%
A447
 
5.6%
n447
 
5.6%
o447
 
5.6%
Y81
 
1.0%
Other values (2)162
 
2.0%
Common
ValueCountFrequency (%)
,4
50.0%
4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i1426
18.0%
g1160
14.6%
a1160
14.6%
l1160
14.6%
D713
9.0%
t713
9.0%
A447
 
5.6%
n447
 
5.6%
o447
 
5.6%
Y81
 
1.0%
Other values (4)170
 
2.1%

Handbrake
Categorical

HIGH CORRELATION
MISSING

Distinct2
Distinct (%)0.2%
Missing57
Missing (%)4.5%
Memory size10.1 KiB
Manual
913 
Automatic
306 

Length

Max length9
Median length6
Mean length6.753076292
Min length6

Characters and Unicode

Total characters8232
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowManual
2nd rowManual
3rd rowManual
4th rowManual
5th rowManual

Common Values

ValueCountFrequency (%)
Manual913
71.6%
Automatic306
 
24.0%
(Missing)57
 
4.5%

Length

2022-05-07T18:31:35.683066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:36.029101image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
manual913
74.9%
automatic306
 
25.1%

Most occurring characters

ValueCountFrequency (%)
a2132
25.9%
u1219
14.8%
M913
11.1%
n913
11.1%
l913
11.1%
t612
 
7.4%
A306
 
3.7%
o306
 
3.7%
m306
 
3.7%
i306
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7013
85.2%
Uppercase Letter1219
 
14.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a2132
30.4%
u1219
17.4%
n913
13.0%
l913
13.0%
t612
 
8.7%
o306
 
4.4%
m306
 
4.4%
i306
 
4.4%
c306
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
M913
74.9%
A306
 
25.1%

Most occurring scripts

ValueCountFrequency (%)
Latin8232
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a2132
25.9%
u1219
14.8%
M913
11.1%
n913
11.1%
l913
11.1%
t612
 
7.4%
A306
 
3.7%
o306
 
3.7%
m306
 
3.7%
i306
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII8232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a2132
25.9%
u1219
14.8%
M913
11.1%
n913
11.1%
l913
11.1%
t612
 
7.4%
A306
 
3.7%
o306
 
3.7%
m306
 
3.7%
i306
 
3.7%

Instrument_Console
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)0.2%
Missing14
Missing (%)1.1%
Memory size10.1 KiB
Analog + Digital
1018 
Analog
168 
Digital
 
76

Length

Max length16
Median length16
Mean length14.12678288
Min length6

Characters and Unicode

Total characters17828
Distinct characters11
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAnalog + Digital
2nd rowAnalog + Digital
3rd rowAnalog + Digital
4th rowAnalog + Digital
5th rowAnalog + Digital

Common Values

ValueCountFrequency (%)
Analog + Digital1018
79.8%
Analog168
 
13.2%
Digital76
 
6.0%
(Missing)14
 
1.1%

Length

2022-05-07T18:31:36.357149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:36.702934image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
analog1186
36.0%
digital1094
33.2%
1018
30.9%

Most occurring characters

ValueCountFrequency (%)
a2280
12.8%
l2280
12.8%
g2280
12.8%
i2188
12.3%
2036
11.4%
A1186
6.7%
n1186
6.7%
o1186
6.7%
D1094
6.1%
t1094
6.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter12494
70.1%
Uppercase Letter2280
 
12.8%
Space Separator2036
 
11.4%
Math Symbol1018
 
5.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a2280
18.2%
l2280
18.2%
g2280
18.2%
i2188
17.5%
n1186
9.5%
o1186
9.5%
t1094
8.8%
Uppercase Letter
ValueCountFrequency (%)
A1186
52.0%
D1094
48.0%
Space Separator
ValueCountFrequency (%)
2036
100.0%
Math Symbol
ValueCountFrequency (%)
+1018
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin14774
82.9%
Common3054
 
17.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a2280
15.4%
l2280
15.4%
g2280
15.4%
i2188
14.8%
A1186
8.0%
n1186
8.0%
o1186
8.0%
D1094
7.4%
t1094
7.4%
Common
ValueCountFrequency (%)
2036
66.7%
+1018
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII17828
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a2280
12.8%
l2280
12.8%
g2280
12.8%
i2188
12.3%
2036
11.4%
A1186
6.7%
n1186
6.7%
o1186
6.7%
D1094
6.1%
t1094
6.1%

Low_Fuel_Warning
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing36
Missing (%)2.8%
Memory size2.6 KiB
True
1240 
(Missing)
 
36
ValueCountFrequency (%)
True1240
97.2%
(Missing)36
 
2.8%
2022-05-07T18:31:37.033262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Minimum_Turning_Radius
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct61
Distinct (%)6.8%
Missing381
Missing (%)29.9%
Memory size10.1 KiB
5.2 meter
102 
5.3 meter
90 
5.1 meter
74 
4.7 meter
72 
5.4 meter
63 
Other values (56)
494 

Length

Max length11
Median length9
Mean length9.135195531
Min length7

Characters and Unicode

Total characters8176
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)1.0%

Sample

1st row4 meter
2nd row4 meter
3rd row4 meter
4th row4 meter
5th row4 meter

Common Values

ValueCountFrequency (%)
5.2 meter102
 
8.0%
5.3 meter90
 
7.1%
5.1 meter74
 
5.8%
4.7 meter72
 
5.6%
5.4 meter63
 
4.9%
4.8 meter57
 
4.5%
5.6 meter49
 
3.8%
4.9 meter32
 
2.5%
5.5 meter31
 
2.4%
4.6 meter26
 
2.0%
Other values (51)299
23.4%
(Missing)381
29.9%

Length

2022-05-07T18:31:37.376931image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
meter895
50.0%
5.2102
 
5.7%
5.390
 
5.0%
5.174
 
4.1%
4.772
 
4.0%
5.463
 
3.5%
4.857
 
3.2%
5.649
 
2.7%
4.932
 
1.8%
5.531
 
1.7%
Other values (52)325
 
18.2%

Most occurring characters

ValueCountFrequency (%)
e1790
21.9%
895
10.9%
m895
10.9%
t895
10.9%
r895
10.9%
.861
10.5%
5727
8.9%
4307
 
3.8%
1203
 
2.5%
6146
 
1.8%
Other values (6)562
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4475
54.7%
Decimal Number1945
23.8%
Space Separator895
 
10.9%
Other Punctuation861
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5727
37.4%
4307
15.8%
1203
 
10.4%
6146
 
7.5%
2138
 
7.1%
3123
 
6.3%
7116
 
6.0%
8102
 
5.2%
970
 
3.6%
013
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
e1790
40.0%
m895
20.0%
t895
20.0%
r895
20.0%
Space Separator
ValueCountFrequency (%)
895
100.0%
Other Punctuation
ValueCountFrequency (%)
.861
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4475
54.7%
Common3701
45.3%

Most frequent character per script

Common
ValueCountFrequency (%)
895
24.2%
.861
23.3%
5727
19.6%
4307
 
8.3%
1203
 
5.5%
6146
 
3.9%
2138
 
3.7%
3123
 
3.3%
7116
 
3.1%
8102
 
2.8%
Other values (2)83
 
2.2%
Latin
ValueCountFrequency (%)
e1790
40.0%
m895
20.0%
t895
20.0%
r895
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8176
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e1790
21.9%
895
10.9%
m895
10.9%
t895
10.9%
r895
10.9%
.861
10.5%
5727
8.9%
4307
 
3.8%
1203
 
2.5%
6146
 
1.8%
Other values (6)562
 
6.9%

Multifunction_Display
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing89
Missing (%)7.0%
Memory size2.6 KiB
True
1187 
(Missing)
 
89
ValueCountFrequency (%)
True1187
93.0%
(Missing)89
 
7.0%
2022-05-07T18:31:37.722831image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Sun_Visor
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)0.2%
Missing62
Missing (%)4.9%
Memory size10.1 KiB
Driver & Front Passenger
1172 
Driver Only
 
27
Co-Driver Only
 
15

Length

Max length24
Median length24
Mean length23.58731466
Min length11

Characters and Unicode

Total characters28635
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDriver & Front Passenger
2nd rowDriver & Front Passenger
3rd rowDriver & Front Passenger
4th rowDriver & Front Passenger
5th rowDriver & Front Passenger

Common Values

ValueCountFrequency (%)
Driver & Front Passenger1172
91.8%
Driver Only27
 
2.1%
Co-Driver Only15
 
1.2%
(Missing)62
 
4.9%

Length

2022-05-07T18:31:38.051938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:38.395606image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
driver1199
25.1%
1172
24.6%
front1172
24.6%
passenger1172
24.6%
only42
 
0.9%
co-driver15
 
0.3%

Most occurring characters

ValueCountFrequency (%)
r4772
16.7%
e3558
12.4%
3558
12.4%
n2386
 
8.3%
s2344
 
8.2%
D1214
 
4.2%
i1214
 
4.2%
v1214
 
4.2%
o1187
 
4.1%
a1172
 
4.1%
Other values (10)6016
21.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter20275
70.8%
Uppercase Letter3615
 
12.6%
Space Separator3558
 
12.4%
Other Punctuation1172
 
4.1%
Dash Punctuation15
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r4772
23.5%
e3558
17.5%
n2386
11.8%
s2344
11.6%
i1214
 
6.0%
v1214
 
6.0%
o1187
 
5.9%
a1172
 
5.8%
g1172
 
5.8%
t1172
 
5.8%
Other values (2)84
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
D1214
33.6%
P1172
32.4%
F1172
32.4%
O42
 
1.2%
C15
 
0.4%
Space Separator
ValueCountFrequency (%)
3558
100.0%
Other Punctuation
ValueCountFrequency (%)
&1172
100.0%
Dash Punctuation
ValueCountFrequency (%)
-15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin23890
83.4%
Common4745
 
16.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
r4772
20.0%
e3558
14.9%
n2386
10.0%
s2344
9.8%
D1214
 
5.1%
i1214
 
5.1%
v1214
 
5.1%
o1187
 
5.0%
a1172
 
4.9%
g1172
 
4.9%
Other values (7)3657
15.3%
Common
ValueCountFrequency (%)
3558
75.0%
&1172
 
24.7%
-15
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII28635
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r4772
16.7%
e3558
12.4%
3558
12.4%
n2386
 
8.3%
s2344
 
8.2%
D1214
 
4.2%
i1214
 
4.2%
v1214
 
4.2%
o1187
 
4.1%
a1172
 
4.1%
Other values (10)6016
21.0%

Third_Row_AC_Vents
Categorical

HIGH CORRELATION
MISSING

Distinct2
Distinct (%)0.2%
Missing366
Missing (%)28.7%
Memory size10.1 KiB
Not Applicable
787 
Yes
123 

Length

Max length14
Median length14
Mean length12.51318681
Min length3

Characters and Unicode

Total characters11387
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Applicable
2nd rowNot Applicable
3rd rowNot Applicable
4th rowNot Applicable
5th rowNot Applicable

Common Values

ValueCountFrequency (%)
Not Applicable787
61.7%
Yes123
 
9.6%
(Missing)366
28.7%

Length

2022-05-07T18:31:38.741697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:39.087512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
not787
46.4%
applicable787
46.4%
yes123
 
7.2%

Most occurring characters

ValueCountFrequency (%)
p1574
13.8%
l1574
13.8%
e910
8.0%
N787
6.9%
o787
6.9%
t787
6.9%
787
6.9%
A787
6.9%
i787
6.9%
c787
6.9%
Other values (4)1820
16.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter8903
78.2%
Uppercase Letter1697
 
14.9%
Space Separator787
 
6.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p1574
17.7%
l1574
17.7%
e910
10.2%
o787
8.8%
t787
8.8%
i787
8.8%
c787
8.8%
a787
8.8%
b787
8.8%
s123
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
N787
46.4%
A787
46.4%
Y123
 
7.2%
Space Separator
ValueCountFrequency (%)
787
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin10600
93.1%
Common787
 
6.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
p1574
14.8%
l1574
14.8%
e910
8.6%
N787
7.4%
o787
7.4%
t787
7.4%
A787
7.4%
i787
7.4%
c787
7.4%
a787
7.4%
Other values (3)1033
9.7%
Common
ValueCountFrequency (%)
787
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII11387
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
p1574
13.8%
l1574
13.8%
e910
8.0%
N787
6.9%
o787
6.9%
t787
6.9%
787
6.9%
A787
6.9%
i787
6.9%
c787
6.9%
Other values (4)1820
16.0%

Ventilation_System
Categorical

HIGH CORRELATION
MISSING

Distinct15
Distinct (%)1.2%
Missing35
Missing (%)2.7%
Memory size10.1 KiB
Fully automatic climate control
487 
Manual Air conditioning with cooling and heating
447 
2 Zone Climate Control
148 
4 Zone climate control
59 
3 Zone climate control
 
35
Other values (10)
65 

Length

Max length81
Median length56
Mean length35.75503626
Min length3

Characters and Unicode

Total characters44372
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowManual Air conditioning with cooling and heating
2nd rowAir Conditioning with cooling only
3rd rowManual Air conditioning with cooling and heating
4th rowAir Conditioning with cooling only
5th rowAir Conditioning with cooling only

Common Values

ValueCountFrequency (%)
Fully automatic climate control487
38.2%
Manual Air conditioning with cooling and heating447
35.0%
2 Zone Climate Control148
 
11.6%
4 Zone climate control59
 
4.6%
3 Zone climate control35
 
2.7%
Air Conditioning with cooling only22
 
1.7%
Fully automatic climate control, 2 Zone Climate Control10
 
0.8%
Yes8
 
0.6%
Heater, Manual Air conditioning with cooling and heating6
 
0.5%
Fully automatic climate control, 4 Zone climate control6
 
0.5%
Other values (5)13
 
1.0%
(Missing)35
 
2.7%

Length

2022-05-07T18:31:39.436920image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
climate773
12.1%
control773
12.1%
fully512
8.0%
automatic512
8.0%
air477
7.4%
conditioning477
7.4%
with477
7.4%
cooling477
7.4%
heating455
7.1%
and455
7.1%
Other values (8)1021
15.9%

Most occurring characters

ValueCountFrequency (%)
5168
11.6%
i4602
10.4%
n4329
9.8%
o4249
9.6%
t3993
9.0%
a3631
 
8.2%
l3524
 
7.9%
c2672
 
6.0%
e1525
 
3.4%
u1479
 
3.3%
Other values (19)9200
20.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter36845
83.0%
Space Separator5168
 
11.6%
Uppercase Letter2067
 
4.7%
Decimal Number261
 
0.6%
Other Punctuation31
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i4602
12.5%
n4329
11.7%
o4249
11.5%
t3993
10.8%
a3631
9.9%
l3524
9.6%
c2672
7.3%
e1525
 
4.1%
u1479
 
4.0%
g1409
 
3.8%
Other values (7)5432
14.7%
Uppercase Letter
ValueCountFrequency (%)
F512
24.8%
A477
23.1%
M455
22.0%
C340
16.4%
Z261
12.6%
H14
 
0.7%
Y8
 
0.4%
Decimal Number
ValueCountFrequency (%)
2159
60.9%
465
24.9%
337
 
14.2%
Space Separator
ValueCountFrequency (%)
5168
100.0%
Other Punctuation
ValueCountFrequency (%)
,31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin38912
87.7%
Common5460
 
12.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
i4602
11.8%
n4329
11.1%
o4249
10.9%
t3993
10.3%
a3631
9.3%
l3524
9.1%
c2672
 
6.9%
e1525
 
3.9%
u1479
 
3.8%
g1409
 
3.6%
Other values (14)7499
19.3%
Common
ValueCountFrequency (%)
5168
94.7%
2159
 
2.9%
465
 
1.2%
337
 
0.7%
,31
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII44372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5168
11.6%
i4602
10.4%
n4329
9.8%
o4249
9.6%
t3993
9.0%
a3631
 
8.2%
l3524
 
7.9%
c2672
 
6.0%
e1525
 
3.4%
u1479
 
3.3%
Other values (19)9200
20.7%

Auto-Dimming_Rear-View_Mirror
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing620
Missing (%)48.6%
Memory size2.6 KiB
True
656 
(Missing)
620 
ValueCountFrequency (%)
True656
51.4%
(Missing)620
48.6%
2022-05-07T18:31:39.791570image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Hill_Assist
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing796
Missing (%)62.4%
Memory size2.6 KiB
True
480 
(Missing)
796 
ValueCountFrequency (%)
True480
37.6%
(Missing)796
62.4%
2022-05-07T18:31:40.088373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Gear_Indicator
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing499
Missing (%)39.1%
Memory size2.6 KiB
True
777 
(Missing)
499 
ValueCountFrequency (%)
True777
60.9%
(Missing)499
39.1%
2022-05-07T18:31:40.405085image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

3_Point_Seat-Belt_in_Middle_Rear_Seat
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)2.0%
Missing1225
Missing (%)96.0%
Memory size2.6 KiB
True
 
51
(Missing)
1225 
ValueCountFrequency (%)
True51
 
4.0%
(Missing)1225
96.0%
2022-05-07T18:31:40.733416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Ambient_Lightning
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.8%
Missing1220
Missing (%)95.6%
Memory size2.6 KiB
True
 
56
(Missing)
1220 
ValueCountFrequency (%)
True56
 
4.4%
(Missing)1220
95.6%
2022-05-07T18:31:41.045789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Cargo/Boot_Lights
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.8%
Missing1155
Missing (%)90.5%
Memory size2.6 KiB
True
121 
(Missing)
1155 
ValueCountFrequency (%)
True121
 
9.5%
(Missing)1155
90.5%
2022-05-07T18:31:41.407191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Drive_Modes
Categorical

HIGH CORRELATION
MISSING

Distinct16
Distinct (%)8.2%
Missing1081
Missing (%)84.7%
Memory size10.1 KiB
Normal
92 
Normal, Comfort, Eco, Sport
34 
Sport
18 
Normal, Eco
11 
Normal, Eco, Sport
 
9
Other values (11)
31 

Length

Max length39
Median length27
Mean length12.7025641
Min length3

Characters and Unicode

Total characters2477
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)2.1%

Sample

1st rowNormal
2nd rowNormal
3rd rowNormal
4th rowNormal
5th rowNormal, Eco, Sport

Common Values

ValueCountFrequency (%)
Normal92
 
7.2%
Normal, Comfort, Eco, Sport34
 
2.7%
Sport18
 
1.4%
Normal, Eco11
 
0.9%
Normal, Eco, Sport9
 
0.7%
Normal, Comfort, Sport6
 
0.5%
Normal, Sport6
 
0.5%
Comfort, Eco, Sport4
 
0.3%
Comfort, Eco, Sport, Normal4
 
0.3%
Eco, Sport, Normal, Comfort3
 
0.2%
Other values (6)8
 
0.6%
(Missing)1081
84.7%

Length

2022-05-07T18:31:41.784312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
normal170
43.5%
sport91
23.3%
eco72
18.4%
comfort54
 
13.8%
power2
 
0.5%
mode2
 
0.5%

Most occurring characters

ValueCountFrequency (%)
o445
18.0%
r317
12.8%
m224
9.0%
196
7.9%
,194
7.8%
N170
 
6.9%
a170
 
6.9%
l170
 
6.9%
t145
 
5.9%
S91
 
3.7%
Other values (10)355
14.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1696
68.5%
Uppercase Letter391
 
15.8%
Space Separator196
 
7.9%
Other Punctuation194
 
7.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o445
26.2%
r317
18.7%
m224
13.2%
a170
 
10.0%
l170
 
10.0%
t145
 
8.5%
p91
 
5.4%
c72
 
4.2%
f54
 
3.2%
e4
 
0.2%
Other values (2)4
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N170
43.5%
S91
23.3%
E72
18.4%
C54
 
13.8%
P2
 
0.5%
M2
 
0.5%
Space Separator
ValueCountFrequency (%)
196
100.0%
Other Punctuation
ValueCountFrequency (%)
,194
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2087
84.3%
Common390
 
15.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o445
21.3%
r317
15.2%
m224
10.7%
N170
 
8.1%
a170
 
8.1%
l170
 
8.1%
t145
 
6.9%
S91
 
4.4%
p91
 
4.4%
E72
 
3.4%
Other values (8)192
9.2%
Common
ValueCountFrequency (%)
196
50.3%
,194
49.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII2477
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o445
18.0%
r317
12.8%
m224
9.0%
196
7.9%
,194
7.8%
N170
 
6.9%
a170
 
6.9%
l170
 
6.9%
t145
 
5.9%
S91
 
3.7%
Other values (10)355
14.3%

Engine_Immobilizer
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing60
Missing (%)4.7%
Memory size2.6 KiB
True
1216 
(Missing)
 
60
ValueCountFrequency (%)
True1216
95.3%
(Missing)60
 
4.7%
2022-05-07T18:31:42.174851image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

High_Speed_Alert_System
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.5%
Missing1068
Missing (%)83.7%
Memory size2.6 KiB
True
208 
(Missing)
1068 
ValueCountFrequency (%)
True208
 
16.3%
(Missing)1068
83.7%
2022-05-07T18:31:42.505179image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Lane_Watch_Camera/_Side_Mirror_Camera
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.5%
Missing1210
Missing (%)94.8%
Memory size2.6 KiB
True
 
66
(Missing)
1210 
ValueCountFrequency (%)
True66
 
5.2%
(Missing)1210
94.8%
2022-05-07T18:31:42.819864image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Passenger_Side_Seat-Belt_Reminder
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.6%
Missing1105
Missing (%)86.6%
Memory size2.6 KiB
True
171 
(Missing)
1105 
ValueCountFrequency (%)
True171
 
13.4%
(Missing)1105
86.6%
2022-05-07T18:31:43.241639image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Seat_Back_Pockets
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing443
Missing (%)34.7%
Memory size2.6 KiB
True
833 
(Missing)
443 
ValueCountFrequency (%)
True833
65.3%
(Missing)443
34.7%
2022-05-07T18:31:43.570933image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Voice_Recognition
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.8%
Missing1144
Missing (%)89.7%
Memory size2.6 KiB
True
132 
(Missing)
1144 
ValueCountFrequency (%)
True132
 
10.3%
(Missing)1144
89.7%
2022-05-07T18:31:43.901186image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Walk_Away_Auto_Car_Lock
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.0%
Missing1173
Missing (%)91.9%
Memory size2.6 KiB
True
 
103
(Missing)
1173 
ValueCountFrequency (%)
True103
 
8.1%
(Missing)1173
91.9%
2022-05-07T18:31:44.244854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

ABS_(Anti-lock_Braking_System)
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing132
Missing (%)10.3%
Memory size2.6 KiB
True
1144 
(Missing)
132 
ValueCountFrequency (%)
True1144
89.7%
(Missing)132
 
10.3%
2022-05-07T18:31:44.563654image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Headlight_Reminder
Categorical

HIGH CORRELATION
MISSING

Distinct2
Distinct (%)0.2%
Missing258
Missing (%)20.2%
Memory size10.1 KiB
Yes
1014 
Automatic
 
4

Length

Max length9
Median length3
Mean length3.023575639
Min length3

Characters and Unicode

Total characters3078
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowYes
5th rowYes

Common Values

ValueCountFrequency (%)
Yes1014
79.5%
Automatic4
 
0.3%
(Missing)258
 
20.2%

Length

2022-05-07T18:31:44.904251image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:45.263543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
yes1014
99.6%
automatic4
 
0.4%

Most occurring characters

ValueCountFrequency (%)
Y1014
32.9%
e1014
32.9%
s1014
32.9%
t8
 
0.3%
A4
 
0.1%
u4
 
0.1%
o4
 
0.1%
m4
 
0.1%
a4
 
0.1%
i4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2060
66.9%
Uppercase Letter1018
33.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e1014
49.2%
s1014
49.2%
t8
 
0.4%
u4
 
0.2%
o4
 
0.2%
m4
 
0.2%
a4
 
0.2%
i4
 
0.2%
c4
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
Y1014
99.6%
A4
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Latin3078
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
Y1014
32.9%
e1014
32.9%
s1014
32.9%
t8
 
0.3%
A4
 
0.1%
u4
 
0.1%
o4
 
0.1%
m4
 
0.1%
a4
 
0.1%
i4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII3078
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Y1014
32.9%
e1014
32.9%
s1014
32.9%
t8
 
0.3%
A4
 
0.1%
u4
 
0.1%
o4
 
0.1%
m4
 
0.1%
a4
 
0.1%
i4
 
0.1%

Adjustable_Headrests
Categorical

HIGH CORRELATION
MISSING

Distinct6
Distinct (%)0.6%
Missing250
Missing (%)19.6%
Memory size10.1 KiB
All Rows
701 
Front Row
198 
Yes
84 
Second Row
 
36
Front Row, Second Row
 
6

Length

Max length21
Median length8
Mean length7.942495127
Min length3

Characters and Unicode

Total characters8149
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowFront Row
2nd rowFront Row
3rd rowFront Row
4th rowFront Row
5th rowFront Row

Common Values

ValueCountFrequency (%)
All Rows701
54.9%
Front Row198
 
15.5%
Yes84
 
6.6%
Second Row36
 
2.8%
Front Row, Second Row6
 
0.5%
Second Row, Front Row1
 
0.1%
(Missing)250
 
19.6%

Length

2022-05-07T18:31:45.593832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:45.955271image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
all701
35.4%
rows701
35.4%
row248
 
12.5%
front205
 
10.3%
yes84
 
4.2%
second43
 
2.2%

Most occurring characters

ValueCountFrequency (%)
l1402
17.2%
o1197
14.7%
956
11.7%
R949
11.6%
w949
11.6%
s785
9.6%
A701
8.6%
n248
 
3.0%
t205
 
2.5%
r205
 
2.5%
Other values (7)552
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5204
63.9%
Uppercase Letter1982
 
24.3%
Space Separator956
 
11.7%
Other Punctuation7
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l1402
26.9%
o1197
23.0%
w949
18.2%
s785
15.1%
n248
 
4.8%
t205
 
3.9%
r205
 
3.9%
e127
 
2.4%
c43
 
0.8%
d43
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
R949
47.9%
A701
35.4%
F205
 
10.3%
Y84
 
4.2%
S43
 
2.2%
Space Separator
ValueCountFrequency (%)
956
100.0%
Other Punctuation
ValueCountFrequency (%)
,7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7186
88.2%
Common963
 
11.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l1402
19.5%
o1197
16.7%
R949
13.2%
w949
13.2%
s785
10.9%
A701
9.8%
n248
 
3.5%
t205
 
2.9%
r205
 
2.9%
F205
 
2.9%
Other values (5)340
 
4.7%
Common
ValueCountFrequency (%)
956
99.3%
,7
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII8149
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l1402
17.2%
o1197
14.7%
956
11.7%
R949
11.6%
w949
11.6%
s785
9.6%
A701
8.6%
n248
 
3.0%
t205
 
2.5%
r205
 
2.5%
Other values (7)552
 
6.8%

Gross_Vehicle_Weight
Categorical

HIGH CARDINALITY
MISSING

Distinct172
Distinct (%)25.3%
Missing595
Missing (%)46.6%
Memory size10.1 KiB
2510 kg
 
30
1170 kg
 
26
1075 kg
 
20
1250 kg
 
19
1530 kg
 
19
Other values (167)
567 

Length

Max length10
Median length7
Mean length7.013215859
Min length5

Characters and Unicode

Total characters4776
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)8.2%

Sample

1st row1510 kg
2nd row1540 kg
3rd row1510 kg
4th row1510 kg
5th row1510 kg

Common Values

ValueCountFrequency (%)
2510 kg30
 
2.4%
1170 kg26
 
2.0%
1075 kg20
 
1.6%
1250 kg19
 
1.5%
1530 kg19
 
1.5%
1680 kg18
 
1.4%
1580 kg17
 
1.3%
1475 kg15
 
1.2%
1315 kg14
 
1.1%
1405 kg14
 
1.1%
Other values (162)489
38.3%
(Missing)595
46.6%

Length

2022-05-07T18:31:46.314566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kg684
50.1%
251030
 
2.2%
117026
 
1.9%
107520
 
1.5%
125019
 
1.4%
153019
 
1.4%
168018
 
1.3%
158017
 
1.2%
147515
 
1.1%
131514
 
1.0%
Other values (162)503
36.8%

Most occurring characters

ValueCountFrequency (%)
k685
14.3%
g685
14.3%
684
14.3%
1597
12.5%
0580
12.1%
5404
8.5%
2376
7.9%
7161
 
3.4%
3158
 
3.3%
6125
 
2.6%
Other values (6)321
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2719
56.9%
Lowercase Letter1370
28.7%
Space Separator685
 
14.3%
Uppercase Letter2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1597
22.0%
0580
21.3%
5404
14.9%
2376
13.8%
7161
 
5.9%
3158
 
5.8%
6125
 
4.6%
4125
 
4.6%
8112
 
4.1%
981
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
k685
50.0%
g685
50.0%
Space Separator
ValueCountFrequency (%)
684
99.9%
1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N1
50.0%
A1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common3404
71.3%
Latin1372
28.7%

Most frequent character per script

Common
ValueCountFrequency (%)
684
20.1%
1597
17.5%
0580
17.0%
5404
11.9%
2376
11.0%
7161
 
4.7%
3158
 
4.6%
6125
 
3.7%
4125
 
3.7%
8112
 
3.3%
Other values (2)82
 
2.4%
Latin
ValueCountFrequency (%)
k685
49.9%
g685
49.9%
N1
 
0.1%
A1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII4775
> 99.9%
Punctuation1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k685
14.3%
g685
14.3%
684
14.3%
1597
12.5%
0580
12.1%
5404
8.5%
2376
7.9%
7161
 
3.4%
3158
 
3.3%
6125
 
2.6%
Other values (5)320
6.7%
Punctuation
ValueCountFrequency (%)
1
100.0%

Airbags
Categorical

HIGH CARDINALITY
MISSING

Distinct207
Distinct (%)18.1%
Missing132
Missing (%)10.3%
Memory size10.1 KiB
Driver frontal airbag, Front passenger frontal airbag
578 
Driver frontal airbag
61 
Front passenger frontal airbag, Driver frontal airbag
 
39
Curtain airbags, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag, Drive side airbag
 
36
Drive side airbag, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag
 
20
Other values (202)
410 

Length

Max length263
Median length53
Mean length85.03234266
Min length3

Characters and Unicode

Total characters97277
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)11.1%

Sample

1st rowDriver frontal airbag
2nd rowDriver frontal airbag
3rd rowDriver frontal airbag
4th rowDriver frontal airbag
5th rowDriver frontal airbag

Common Values

ValueCountFrequency (%)
Driver frontal airbag, Front passenger frontal airbag578
45.3%
Driver frontal airbag61
 
4.8%
Front passenger frontal airbag, Driver frontal airbag39
 
3.1%
Curtain airbags, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag, Drive side airbag36
 
2.8%
Drive side airbag, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag20
 
1.6%
Driver frontal airbag, Front passenger frontal airbag, Driver knee airbag15
 
1.2%
Curtain airbags, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag, Rear passenger side airbags14
 
1.1%
Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag, Rear passenger side airbags, Curtain airbags12
 
0.9%
Curtain airbags, Driver frontal airbag, Front passenger frontal airbag10
 
0.8%
Driver head airbag, Front passenger head airbag, Drive side airbag, Front passenger pelvic airbag, Driver pelvic airbag, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag9
 
0.7%
Other values (197)350
27.4%
(Missing)132
 
10.3%

Length

2022-05-07T18:31:46.731985image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
airbag3378
25.8%
frontal2198
16.8%
passenger1835
14.0%
front1622
12.4%
driver1411
10.8%
side846
 
6.4%
airbags468
 
3.6%
curtain428
 
3.3%
drive341
 
2.6%
rear213
 
1.6%
Other values (5)377
 
2.9%

Most occurring characters

ValueCountFrequency (%)
r13309
13.7%
a12556
12.9%
11973
12.3%
e6978
 
7.2%
i6936
 
7.1%
n6203
 
6.4%
g5681
 
5.8%
s4987
 
5.1%
t4252
 
4.4%
b3846
 
4.0%
Other values (16)20556
21.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter78750
81.0%
Space Separator11973
 
12.3%
Uppercase Letter3849
 
4.0%
Other Punctuation2705
 
2.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r13309
16.9%
a12556
15.9%
e6978
8.9%
i6936
8.8%
n6203
7.9%
g5681
7.2%
s4987
 
6.3%
t4252
 
5.4%
b3846
 
4.9%
o3820
 
4.9%
Other values (9)10182
12.9%
Uppercase Letter
ValueCountFrequency (%)
D1752
45.5%
F1622
42.1%
C259
 
6.7%
R213
 
5.5%
Y3
 
0.1%
Space Separator
ValueCountFrequency (%)
11973
100.0%
Other Punctuation
ValueCountFrequency (%)
,2705
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin82599
84.9%
Common14678
 
15.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
r13309
16.1%
a12556
15.2%
e6978
8.4%
i6936
8.4%
n6203
7.5%
g5681
6.9%
s4987
 
6.0%
t4252
 
5.1%
b3846
 
4.7%
o3820
 
4.6%
Other values (14)14031
17.0%
Common
ValueCountFrequency (%)
11973
81.6%
,2705
 
18.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII97277
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r13309
13.7%
a12556
12.9%
11973
12.3%
e6978
 
7.2%
i6936
 
7.1%
n6203
 
6.4%
g5681
 
5.8%
s4987
 
5.1%
t4252
 
4.4%
b3846
 
4.0%
Other values (16)20556
21.1%

Door_Ajar_Warning
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing143
Missing (%)11.2%
Memory size2.6 KiB
True
1133 
(Missing)
143 
ValueCountFrequency (%)
True1133
88.8%
(Missing)143
 
11.2%
2022-05-07T18:31:47.100391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

EBD_(Electronic_Brake-force_Distribution)
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing201
Missing (%)15.8%
Memory size2.6 KiB
True
1075 
(Missing)
201 
ValueCountFrequency (%)
True1075
84.2%
(Missing)201
 
15.8%
2022-05-07T18:31:47.444058image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Fasten_Seat_Belt_Warning
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing190
Missing (%)14.9%
Memory size2.6 KiB
True
1086 
(Missing)
190 
ValueCountFrequency (%)
True1086
85.1%
(Missing)190
 
14.9%
2022-05-07T18:31:47.774078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Gear_Shift_Reminder
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing543
Missing (%)42.6%
Memory size2.6 KiB
True
733 
(Missing)
543 
ValueCountFrequency (%)
True733
57.4%
(Missing)543
42.6%
2022-05-07T18:31:48.088750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Number_of_Airbags
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct11
Distinct (%)1.0%
Missing135
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean3.787028922
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2022-05-07T18:31:48.385560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q36
95-th percentile8
Maximum14
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.522399308
Coefficient of variation (CV)0.6660628583
Kurtosis-0.3376203537
Mean3.787028922
Median Absolute Deviation (MAD)0
Skewness0.8987434651
Sum4321
Variance6.36249827
MonotonicityNot monotonic
2022-05-07T18:31:48.730559image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2627
49.1%
6202
 
15.8%
892
 
7.2%
765
 
5.1%
157
 
4.5%
440
 
3.1%
921
 
1.6%
317
 
1.3%
1016
 
1.3%
143
 
0.2%
(Missing)135
 
10.6%
ValueCountFrequency (%)
157
 
4.5%
2627
49.1%
317
 
1.3%
440
 
3.1%
51
 
0.1%
6202
 
15.8%
765
 
5.1%
892
 
7.2%
921
 
1.6%
1016
 
1.3%
ValueCountFrequency (%)
143
 
0.2%
1016
 
1.3%
921
 
1.6%
892
 
7.2%
765
 
5.1%
6202
 
15.8%
51
 
0.1%
440
 
3.1%
317
 
1.3%
2627
49.1%

Compression_Ratio
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct66
Distinct (%)18.4%
Missing917
Missing (%)71.9%
Memory size10.1 KiB
16.5:1
43 
11.0:1
33 
10.5:1
27 
16.7:1
 
21
17.6:1
 
20
Other values (61)
215 

Length

Max length10
Median length6
Mean length5.537604457
Min length1

Characters and Unicode

Total characters1988
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)4.2%

Sample

1st row9.9
2nd row9.9
3rd row9.9
4th row9.9
5th row9.9

Common Values

ValueCountFrequency (%)
16.5:143
 
3.4%
11.0:133
 
2.6%
10.5:127
 
2.1%
16.7:121
 
1.6%
17.6:120
 
1.6%
16:116
 
1.3%
11:111
 
0.9%
10.4:110
 
0.8%
17.2:19
 
0.7%
17:018
 
0.6%
Other values (56)161
 
12.6%
(Missing)917
71.9%

Length

2022-05-07T18:31:49.089847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
16.5:143
 
12.0%
11.0:133
 
9.2%
10.5:127
 
7.5%
16.7:121
 
5.8%
17.6:120
 
5.6%
16:116
 
4.5%
11:111
 
3.1%
10.4:110
 
2.8%
17.2:19
 
2.5%
17:018
 
2.2%
Other values (56)161
44.8%

Most occurring characters

ValueCountFrequency (%)
1699
35.2%
.319
16.0%
:310
15.6%
5142
 
7.1%
0139
 
7.0%
6124
 
6.2%
7101
 
5.1%
938
 
1.9%
231
 
1.6%
825
 
1.3%
Other values (6)60
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1337
67.3%
Other Punctuation635
31.9%
Math Symbol6
 
0.3%
Dash Punctuation6
 
0.3%
Lowercase Letter4
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1699
52.3%
5142
 
10.6%
0139
 
10.4%
6124
 
9.3%
7101
 
7.6%
938
 
2.8%
231
 
2.3%
825
 
1.9%
419
 
1.4%
319
 
1.4%
Other Punctuation
ValueCountFrequency (%)
.319
50.2%
:310
48.8%
/6
 
0.9%
Math Symbol
ValueCountFrequency (%)
+6
100.0%
Dash Punctuation
ValueCountFrequency (%)
-6
100.0%
Lowercase Letter
ValueCountFrequency (%)
x4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1984
99.8%
Latin4
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1699
35.2%
.319
16.1%
:310
15.6%
5142
 
7.2%
0139
 
7.0%
6124
 
6.2%
7101
 
5.1%
938
 
1.9%
231
 
1.6%
825
 
1.3%
Other values (5)56
 
2.8%
Latin
ValueCountFrequency (%)
x4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1699
35.2%
.319
16.0%
:310
15.6%
5142
 
7.1%
0139
 
7.0%
6124
 
6.2%
7101
 
5.1%
938
 
1.9%
231
 
1.6%
825
 
1.3%
Other values (6)60
 
3.0%

Adjustable_Steering_Column
Categorical

HIGH CORRELATION
MISSING

Distinct4
Distinct (%)0.4%
Missing191
Missing (%)15.0%
Memory size10.1 KiB
Rake, Reach
541 
Rake
477 
Reach, Rake
 
51
Yes
 
16

Length

Max length11
Median length11
Mean length7.804608295
Min length3

Characters and Unicode

Total characters8468
Distinct characters10
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRake
2nd rowRake
3rd rowRake
4th rowRake
5th rowRake

Common Values

ValueCountFrequency (%)
Rake, Reach541
42.4%
Rake477
37.4%
Reach, Rake51
 
4.0%
Yes16
 
1.3%
(Missing)191
 
15.0%

Length

2022-05-07T18:31:49.454717image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:49.812673image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
rake1069
63.7%
reach592
35.3%
yes16
 
1.0%

Most occurring characters

ValueCountFrequency (%)
e1677
19.8%
R1661
19.6%
a1661
19.6%
k1069
12.6%
,592
 
7.0%
592
 
7.0%
c592
 
7.0%
h592
 
7.0%
Y16
 
0.2%
s16
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5607
66.2%
Uppercase Letter1677
 
19.8%
Other Punctuation592
 
7.0%
Space Separator592
 
7.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e1677
29.9%
a1661
29.6%
k1069
19.1%
c592
 
10.6%
h592
 
10.6%
s16
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
R1661
99.0%
Y16
 
1.0%
Other Punctuation
ValueCountFrequency (%)
,592
100.0%
Space Separator
ValueCountFrequency (%)
592
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7284
86.0%
Common1184
 
14.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e1677
23.0%
R1661
22.8%
a1661
22.8%
k1069
14.7%
c592
 
8.1%
h592
 
8.1%
Y16
 
0.2%
s16
 
0.2%
Common
ValueCountFrequency (%)
,592
50.0%
592
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8468
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e1677
19.8%
R1661
19.6%
a1661
19.6%
k1069
12.6%
,592
 
7.0%
592
 
7.0%
c592
 
7.0%
h592
 
7.0%
Y16
 
0.2%
s16
 
0.2%

Other_Specs
Categorical

HIGH CORRELATION
MISSING

Distinct4
Distinct (%)40.0%
Missing1266
Missing (%)99.2%
Memory size10.1 KiB
2-Tone Beige & Black Interior Key Colour Blue Interior Illumination Front & Rear Door Mapping Pockets Front Room Lamp
tubeless tyre
SportShift Selector – Jet Leather, 3-spoke leather steering wheel with Ignis paddles, Dark Hex Aluminium Centre Console, Sports Seats, Instrument Cluster - Twin dials with 5" colour TFT display, Configurable Ambient Interior Lighting – with selectabl
Jaguar Sequential ShiftTM, Active Sports Exhaust, Limited Slip Differential, Dynamic Stability Control (with Trac DSC mode), Jaguar High Performance Braking System with Brake Disc diameter, Front: 380mm, Rear: 325mm with Black calipers, Configurable

Length

Max length250
Median length249
Mean length125.6
Min length13

Characters and Unicode

Total characters1256
Distinct characters54
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)10.0%

Sample

1st rowtubeless tyre
2nd rowtubeless tyre
3rd rowtubeless tyre
4th row2-Tone Beige & Black Interior Key Colour Blue Interior Illumination Front & Rear Door Mapping Pockets Front Room Lamp
5th row2-Tone Beige & Black Interior Key Colour Blue Interior Illumination Front & Rear Door Mapping Pockets Front Room Lamp

Common Values

ValueCountFrequency (%)
2-Tone Beige & Black Interior Key Colour Blue Interior Illumination Front & Rear Door Mapping Pockets Front Room Lamp4
 
0.3%
tubeless tyre3
 
0.2%
SportShift Selector – Jet Leather, 3-spoke leather steering wheel with Ignis paddles, Dark Hex Aluminium Centre Console, Sports Seats, Instrument Cluster - Twin dials with 5" colour TFT display, Configurable Ambient Interior Lighting – with selectabl2
 
0.2%
Jaguar Sequential ShiftTM, Active Sports Exhaust, Limited Slip Differential, Dynamic Stability Control (with Trac DSC mode), Jaguar High Performance Braking System with Brake Disc diameter, Front: 380mm, Rear: 325mm with Black calipers, Configurable1
 
0.1%
(Missing)1266
99.2%

Length

2022-05-07T18:31:50.140721image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:50.564745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
10
 
5.3%
interior10
 
5.3%
with9
 
4.8%
front9
 
4.8%
colour6
 
3.2%
black5
 
2.7%
rear5
 
2.7%
2-tone4
 
2.1%
pockets4
 
2.1%
leather4
 
2.1%
Other values (61)121
64.7%

Most occurring characters

ValueCountFrequency (%)
177
14.1%
e111
 
8.8%
t86
 
6.8%
r82
 
6.5%
o79
 
6.3%
i76
 
6.1%
n64
 
5.1%
l57
 
4.5%
a56
 
4.5%
s39
 
3.1%
Other values (44)429
34.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter879
70.0%
Space Separator177
 
14.1%
Uppercase Letter143
 
11.4%
Other Punctuation29
 
2.3%
Decimal Number14
 
1.1%
Dash Punctuation12
 
1.0%
Open Punctuation1
 
0.1%
Close Punctuation1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e111
12.6%
t86
9.8%
r82
9.3%
o79
9.0%
i76
 
8.6%
n64
 
7.3%
l57
 
6.5%
a56
 
6.4%
s39
 
4.4%
u32
 
3.6%
Other values (14)197
22.4%
Uppercase Letter
ValueCountFrequency (%)
I18
12.6%
S17
11.9%
C15
10.5%
B15
10.5%
T12
8.4%
F11
7.7%
D10
7.0%
L9
6.3%
R9
6.3%
A5
 
3.5%
Other values (6)22
15.4%
Decimal Number
ValueCountFrequency (%)
25
35.7%
34
28.6%
53
21.4%
81
 
7.1%
01
 
7.1%
Other Punctuation
ValueCountFrequency (%)
,17
58.6%
&8
27.6%
:2
 
6.9%
"2
 
6.9%
Dash Punctuation
ValueCountFrequency (%)
-8
66.7%
4
33.3%
Space Separator
ValueCountFrequency (%)
177
100.0%
Open Punctuation
ValueCountFrequency (%)
(1
100.0%
Close Punctuation
ValueCountFrequency (%)
)1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1022
81.4%
Common234
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e111
 
10.9%
t86
 
8.4%
r82
 
8.0%
o79
 
7.7%
i76
 
7.4%
n64
 
6.3%
l57
 
5.6%
a56
 
5.5%
s39
 
3.8%
u32
 
3.1%
Other values (30)340
33.3%
Common
ValueCountFrequency (%)
177
75.6%
,17
 
7.3%
-8
 
3.4%
&8
 
3.4%
25
 
2.1%
34
 
1.7%
4
 
1.7%
53
 
1.3%
:2
 
0.9%
"2
 
0.9%
Other values (4)4
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1252
99.7%
Punctuation4
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
14.1%
e111
 
8.9%
t86
 
6.9%
r82
 
6.5%
o79
 
6.3%
i76
 
6.1%
n64
 
5.1%
l57
 
4.6%
a56
 
4.5%
s39
 
3.1%
Other values (43)425
33.9%
Punctuation
ValueCountFrequency (%)
4
100.0%

Other_specs
Categorical

HIGH CORRELATION
MISSING

Distinct10
Distinct (%)15.9%
Missing1213
Missing (%)95.1%
Memory size10.1 KiB
Air Conditioner : Standard
47 
Chrome Radiator Grille Wraparound Clear Lens Headlamps & Tail Lamps, Bumpers Tubeless Tyres
 
4
Electric Power Steering Manual AC With Heater Tinted Glass Front Power Outlet Front Power Windows Internally Adjustable ORVM Front Washer & Wiper
 
3
Internally Adjustable ORVM Semi Drive Computer Adjustable Rear Headrest Assist Grip 12 V Power Outlet
 
2
Intelligent Stop/Start, Reverse Traffic Detection, Blind spot monitor, Front Parking Aid , Rear parking aid with Touch-Screen visual Indicator and reverse park camera with guidance, Rain Sensing Windscreen wipers, Bi-function HID Xenon headlamps wit
 
2
Other values (5)

Length

Max length249
Median length26
Mean length50.9047619
Min length17

Characters and Unicode

Total characters3207
Distinct characters57
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)7.9%

Sample

1st rowRear Reading Lamp
2nd rowAir Conditioner : Standard
3rd rowInternally Adjustable ORVM Semi Drive Computer Adjustable Rear Headrest Assist Grip 12 V Power Outlet
4th rowManual AC Tilt Steering Power Windows Front & Rear Remote Keyless Entry Internally Adjustable ORVM Passenger Side Vanity Mirror Tachometer Semi Drive Computer Adjustable Rear Headrest Rear Parcel Shelf Assist Grip 12V Power Outlet
5th rowInternally Adjustable ORVM Semi Drive Computer Adjustable Rear Headrest Assist Grip 12 V Power Outlet

Common Values

ValueCountFrequency (%)
Air Conditioner : Standard47
 
3.7%
Chrome Radiator Grille Wraparound Clear Lens Headlamps & Tail Lamps, Bumpers Tubeless Tyres4
 
0.3%
Electric Power Steering Manual AC With Heater Tinted Glass Front Power Outlet Front Power Windows Internally Adjustable ORVM Front Washer & Wiper3
 
0.2%
Internally Adjustable ORVM Semi Drive Computer Adjustable Rear Headrest Assist Grip 12 V Power Outlet2
 
0.2%
Intelligent Stop/Start, Reverse Traffic Detection, Blind spot monitor, Front Parking Aid , Rear parking aid with Touch-Screen visual Indicator and reverse park camera with guidance, Rain Sensing Windscreen wipers, Bi-function HID Xenon headlamps wit2
 
0.2%
Rear Reading Lamp1
 
0.1%
Manual AC Tilt Steering Power Windows Front & Rear Remote Keyless Entry Internally Adjustable ORVM Passenger Side Vanity Mirror Tachometer Semi Drive Computer Adjustable Rear Headrest Rear Parcel Shelf Assist Grip 12V Power Outlet1
 
0.1%
Air Conditioner : Auto Climate Control Air Conditioning1
 
0.1%
3rd Row: One-touch Easy Space-Up with Recline1
 
0.1%
Meridian 380W Sound System - 10 speakers, Meridian 770W Sound System - 12 speakers, Dual Zone Automatic Climate Control, Digital Television1
 
0.1%
(Missing)1213
95.1%

Length

2022-05-07T18:31:51.006417image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:51.442994image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
60
 
12.6%
air49
 
10.3%
conditioner48
 
10.1%
standard47
 
9.9%
power13
 
2.7%
front12
 
2.5%
adjustable9
 
1.9%
rear8
 
1.7%
with8
 
1.7%
orvm6
 
1.3%
Other values (93)217
45.5%

Most occurring characters

ValueCountFrequency (%)
414
12.9%
r285
 
8.9%
i252
 
7.9%
n247
 
7.7%
e236
 
7.4%
a220
 
6.9%
t209
 
6.5%
d197
 
6.1%
o175
 
5.5%
s90
 
2.8%
Other values (47)882
27.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2280
71.1%
Space Separator414
 
12.9%
Uppercase Letter410
 
12.8%
Other Punctuation78
 
2.4%
Decimal Number17
 
0.5%
Dash Punctuation8
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r285
12.5%
i252
11.1%
n247
10.8%
e236
10.4%
a220
9.6%
t209
9.2%
d197
8.6%
o175
7.7%
s90
 
3.9%
l83
 
3.6%
Other values (13)286
12.5%
Uppercase Letter
ValueCountFrequency (%)
A69
16.8%
S69
16.8%
C68
16.6%
R26
 
6.3%
T22
 
5.4%
W21
 
5.1%
P17
 
4.1%
M13
 
3.2%
O13
 
3.2%
H12
 
2.9%
Other values (12)80
19.5%
Decimal Number
ValueCountFrequency (%)
15
29.4%
24
23.5%
03
17.6%
32
 
11.8%
72
 
11.8%
81
 
5.9%
Other Punctuation
ValueCountFrequency (%)
:49
62.8%
,19
 
24.4%
&8
 
10.3%
/2
 
2.6%
Space Separator
ValueCountFrequency (%)
414
100.0%
Dash Punctuation
ValueCountFrequency (%)
-8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2690
83.9%
Common517
 
16.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
r285
10.6%
i252
 
9.4%
n247
 
9.2%
e236
 
8.8%
a220
 
8.2%
t209
 
7.8%
d197
 
7.3%
o175
 
6.5%
s90
 
3.3%
l83
 
3.1%
Other values (35)696
25.9%
Common
ValueCountFrequency (%)
414
80.1%
:49
 
9.5%
,19
 
3.7%
&8
 
1.5%
-8
 
1.5%
15
 
1.0%
24
 
0.8%
03
 
0.6%
/2
 
0.4%
32
 
0.4%
Other values (2)3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII3207
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
414
12.9%
r285
 
8.9%
i252
 
7.9%
n247
 
7.7%
e236
 
7.4%
a220
 
6.9%
t209
 
6.5%
d197
 
6.1%
o175
 
5.5%
s90
 
2.8%
Other values (47)882
27.5%

Parking_Assistance
Categorical

HIGH CORRELATION
MISSING

Distinct10
Distinct (%)1.0%
Missing290
Missing (%)22.7%
Memory size10.1 KiB
Rear sensors with camera
367 
Rear sensors
277 
Front and rear sensors with camera
181 
Front & rear sensors with 360 degree view
120 
Rear sensors, Rear sensors with camera
 
17
Other values (5)
 
24

Length

Max length77
Median length41
Mean length24.59533469
Min length3

Characters and Unicode

Total characters24251
Distinct characters24
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowRear sensors
2nd rowRear sensors
3rd rowRear sensors with camera
4th rowRear sensors with camera
5th rowRear sensors with camera

Common Values

ValueCountFrequency (%)
Rear sensors with camera367
28.8%
Rear sensors277
21.7%
Front and rear sensors with camera181
14.2%
Front & rear sensors with 360 degree view120
 
9.4%
Rear sensors, Rear sensors with camera17
 
1.3%
Yes15
 
1.2%
Front sensors, Rear sensors5
 
0.4%
Front and rear sensors with camera, Front & rear sensors with 360 degree view2
 
0.2%
Rear sensors with camera, Rear sensors1
 
0.1%
Rear sensors, Front sensors1
 
0.1%
(Missing)290
22.7%

Length

2022-05-07T18:31:51.945047image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:52.353395image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
sensors997
23.5%
rear991
23.4%
with690
16.3%
camera568
13.4%
front311
 
7.3%
and183
 
4.3%
122
 
2.9%
360122
 
2.9%
degree122
 
2.9%
view122
 
2.9%

Most occurring characters

ValueCountFrequency (%)
r3294
13.6%
3257
13.4%
e3059
12.6%
s3006
12.4%
a2310
9.5%
n1491
 
6.1%
o1308
 
5.4%
t1001
 
4.1%
w812
 
3.3%
i812
 
3.3%
Other values (14)3901
16.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter19468
80.3%
Space Separator3257
 
13.4%
Uppercase Letter1012
 
4.2%
Decimal Number366
 
1.5%
Other Punctuation148
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r3294
16.9%
e3059
15.7%
s3006
15.4%
a2310
11.9%
n1491
7.7%
o1308
 
6.7%
t1001
 
5.1%
w812
 
4.2%
i812
 
4.2%
h690
 
3.5%
Other values (5)1685
8.7%
Uppercase Letter
ValueCountFrequency (%)
R686
67.8%
F311
30.7%
Y15
 
1.5%
Decimal Number
ValueCountFrequency (%)
3122
33.3%
6122
33.3%
0122
33.3%
Other Punctuation
ValueCountFrequency (%)
&122
82.4%
,26
 
17.6%
Space Separator
ValueCountFrequency (%)
3257
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin20480
84.5%
Common3771
 
15.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
r3294
16.1%
e3059
14.9%
s3006
14.7%
a2310
11.3%
n1491
7.3%
o1308
 
6.4%
t1001
 
4.9%
w812
 
4.0%
i812
 
4.0%
h690
 
3.4%
Other values (8)2697
13.2%
Common
ValueCountFrequency (%)
3257
86.4%
&122
 
3.2%
3122
 
3.2%
6122
 
3.2%
0122
 
3.2%
,26
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII24251
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r3294
13.6%
3257
13.4%
e3059
12.6%
s3006
12.4%
a2310
9.5%
n1491
 
6.1%
o1308
 
5.4%
t1001
 
4.1%
w812
 
3.3%
i812
 
3.3%
Other values (14)3901
16.1%

Key_Off_Reminder
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing340
Missing (%)26.6%
Memory size2.6 KiB
True
936 
(Missing)
340 
ValueCountFrequency (%)
True936
73.4%
(Missing)340
 
26.6%
2022-05-07T18:31:53.498216image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

USB_Compatibility
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing267
Missing (%)20.9%
Memory size2.6 KiB
True
1009 
(Missing)
267 
ValueCountFrequency (%)
True1009
79.1%
(Missing)267
 
20.9%
2022-05-07T18:31:53.810642image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Android_Auto
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.6%
Missing1103
Missing (%)86.4%
Memory size2.6 KiB
True
173 
(Missing)
1103 
ValueCountFrequency (%)
True173
 
13.6%
(Missing)1103
86.4%
2022-05-07T18:31:54.124601image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Apple_CarPlay
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.6%
Missing1103
Missing (%)86.4%
Memory size2.6 KiB
True
173 
(Missing)
1103 
ValueCountFrequency (%)
True173
 
13.6%
(Missing)1103
86.4%
2022-05-07T18:31:54.454602image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Cigarette_Lighter
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing682
Missing (%)53.4%
Memory size2.6 KiB
True
594 
(Missing)
682 
ValueCountFrequency (%)
True594
46.6%
(Missing)682
53.4%
2022-05-07T18:31:54.767030image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Infotainment_Screen
Categorical

HIGH CORRELATION
MISSING

Distinct2
Distinct (%)0.2%
Missing462
Missing (%)36.2%
Memory size10.1 KiB
Touch Sensitive
737 
Yes
77 

Length

Max length15
Median length15
Mean length13.86486486
Min length3

Characters and Unicode

Total characters11286
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTouch Sensitive
2nd rowTouch Sensitive
3rd rowTouch Sensitive
4th rowTouch Sensitive
5th rowTouch Sensitive

Common Values

ValueCountFrequency (%)
Touch Sensitive737
57.8%
Yes77
 
6.0%
(Missing)462
36.2%

Length

2022-05-07T18:31:55.097436image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:55.456772image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
touch737
47.5%
sensitive737
47.5%
yes77
 
5.0%

Most occurring characters

ValueCountFrequency (%)
e1551
13.7%
i1474
13.1%
s814
 
7.2%
T737
 
6.5%
o737
 
6.5%
u737
 
6.5%
c737
 
6.5%
h737
 
6.5%
737
 
6.5%
S737
 
6.5%
Other values (4)2288
20.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter8998
79.7%
Uppercase Letter1551
 
13.7%
Space Separator737
 
6.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e1551
17.2%
i1474
16.4%
s814
9.0%
o737
8.2%
u737
8.2%
c737
8.2%
h737
8.2%
n737
8.2%
t737
8.2%
v737
8.2%
Uppercase Letter
ValueCountFrequency (%)
T737
47.5%
S737
47.5%
Y77
 
5.0%
Space Separator
ValueCountFrequency (%)
737
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin10549
93.5%
Common737
 
6.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e1551
14.7%
i1474
14.0%
s814
7.7%
T737
7.0%
o737
7.0%
u737
7.0%
c737
7.0%
h737
7.0%
S737
7.0%
n737
7.0%
Other values (3)1551
14.7%
Common
ValueCountFrequency (%)
737
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII11286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e1551
13.7%
i1474
13.1%
s814
 
7.2%
T737
 
6.5%
o737
 
6.5%
u737
 
6.5%
c737
 
6.5%
h737
 
6.5%
737
 
6.5%
S737
 
6.5%
Other values (4)2288
20.3%

Multifunction_Steering_Wheel
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)0.5%
Missing351
Missing (%)27.5%
Memory size10.1 KiB
Multifunction Steering Wheel
719 
Yes
118 
Multifunction Steering Wheel, With gear shift paddles
74 
With gear shift paddles, Multifunction Steering Wheel
 
9
With gear shift paddles
 
5

Length

Max length53
Median length28
Mean length27.02702703
Min length3

Characters and Unicode

Total characters25000
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMultifunction Steering Wheel
2nd rowMultifunction Steering Wheel
3rd rowMultifunction Steering Wheel
4th rowMultifunction Steering Wheel
5th rowMultifunction Steering Wheel

Common Values

ValueCountFrequency (%)
Multifunction Steering Wheel719
56.3%
Yes118
 
9.2%
Multifunction Steering Wheel, With gear shift paddles74
 
5.8%
With gear shift paddles, Multifunction Steering Wheel9
 
0.7%
With gear shift paddles5
 
0.4%
(Missing)351
27.5%

Length

2022-05-07T18:31:55.786977image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:56.148364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
multifunction802
27.9%
steering802
27.9%
wheel802
27.9%
yes118
 
4.1%
with88
 
3.1%
gear88
 
3.1%
shift88
 
3.1%
paddles88
 
3.1%

Most occurring characters

ValueCountFrequency (%)
e3502
14.0%
t2582
10.3%
i2582
10.3%
n2406
9.6%
1951
 
7.8%
l1692
 
6.8%
u1604
 
6.4%
h978
 
3.9%
r890
 
3.6%
f890
 
3.6%
Other values (12)5923
23.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter20354
81.4%
Uppercase Letter2612
 
10.4%
Space Separator1951
 
7.8%
Other Punctuation83
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e3502
17.2%
t2582
12.7%
i2582
12.7%
n2406
11.8%
l1692
8.3%
u1604
7.9%
h978
 
4.8%
r890
 
4.4%
f890
 
4.4%
g890
 
4.4%
Other values (6)2338
11.5%
Uppercase Letter
ValueCountFrequency (%)
W890
34.1%
M802
30.7%
S802
30.7%
Y118
 
4.5%
Space Separator
ValueCountFrequency (%)
1951
100.0%
Other Punctuation
ValueCountFrequency (%)
,83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin22966
91.9%
Common2034
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e3502
15.2%
t2582
11.2%
i2582
11.2%
n2406
10.5%
l1692
 
7.4%
u1604
 
7.0%
h978
 
4.3%
r890
 
3.9%
f890
 
3.9%
W890
 
3.9%
Other values (10)4950
21.6%
Common
ValueCountFrequency (%)
1951
95.9%
,83
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII25000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e3502
14.0%
t2582
10.3%
i2582
10.3%
n2406
9.6%
1951
 
7.8%
l1692
 
6.8%
u1604
 
6.4%
h978
 
3.9%
r890
 
3.6%
f890
 
3.6%
Other values (12)5923
23.7%

Average_Speed
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing512
Missing (%)40.1%
Memory size2.6 KiB
True
764 
(Missing)
512 
ValueCountFrequency (%)
True764
59.9%
(Missing)512
40.1%
2022-05-07T18:31:56.492004image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

EBA_(Electronic_Brake_Assist)
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing690
Missing (%)54.1%
Memory size2.6 KiB
True
586 
(Missing)
690 
ValueCountFrequency (%)
True586
45.9%
(Missing)690
54.1%
2022-05-07T18:31:56.836876image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Seat_Height_Adjustment
Categorical

HIGH CORRELATION
MISSING

Distinct4
Distinct (%)0.4%
Missing326
Missing (%)25.5%
Memory size10.1 KiB
Manual Adjustment
529 
Electric Adjustment with Memory
239 
Electric Adjustment
168 
Semi Automatic Adjustment
 
14

Length

Max length31
Median length17
Mean length20.99368421
Min length17

Characters and Unicode

Total characters19944
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowManual Adjustment
2nd rowManual Adjustment
3rd rowManual Adjustment
4th rowManual Adjustment
5th rowManual Adjustment

Common Values

ValueCountFrequency (%)
Manual Adjustment529
41.5%
Electric Adjustment with Memory239
18.7%
Electric Adjustment168
 
13.2%
Semi Automatic Adjustment14
 
1.1%
(Missing)326
25.5%

Length

2022-05-07T18:31:57.167114image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:57.510828image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
adjustment950
39.7%
manual529
22.1%
electric407
17.0%
with239
 
10.0%
memory239
 
10.0%
semi14
 
0.6%
automatic14
 
0.6%

Most occurring characters

ValueCountFrequency (%)
t2574
12.9%
e1610
 
8.1%
u1493
 
7.5%
n1479
 
7.4%
1442
 
7.2%
m1217
 
6.1%
a1072
 
5.4%
A964
 
4.8%
d950
 
4.8%
j950
 
4.8%
Other values (12)6193
31.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter16349
82.0%
Uppercase Letter2153
 
10.8%
Space Separator1442
 
7.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t2574
15.7%
e1610
9.8%
u1493
9.1%
n1479
9.0%
m1217
 
7.4%
a1072
 
6.6%
d950
 
5.8%
j950
 
5.8%
s950
 
5.8%
l936
 
5.7%
Other values (7)3118
19.1%
Uppercase Letter
ValueCountFrequency (%)
A964
44.8%
M768
35.7%
E407
18.9%
S14
 
0.7%
Space Separator
ValueCountFrequency (%)
1442
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin18502
92.8%
Common1442
 
7.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t2574
13.9%
e1610
 
8.7%
u1493
 
8.1%
n1479
 
8.0%
m1217
 
6.6%
a1072
 
5.8%
A964
 
5.2%
d950
 
5.1%
j950
 
5.1%
s950
 
5.1%
Other values (11)5243
28.3%
Common
ValueCountFrequency (%)
1442
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII19944
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t2574
12.9%
e1610
 
8.1%
u1493
 
7.5%
n1479
 
7.4%
1442
 
7.2%
m1217
 
6.1%
a1072
 
5.4%
A964
 
4.8%
d950
 
4.8%
j950
 
4.8%
Other values (12)6193
31.1%

Navigation_System
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing593
Missing (%)46.5%
Memory size2.6 KiB
True
683 
(Missing)
593 
ValueCountFrequency (%)
True683
53.5%
(Missing)593
46.5%
2022-05-07T18:31:57.856679image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Second_Row_AC_Vents
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing602
Missing (%)47.2%
Memory size2.6 KiB
True
674 
(Missing)
602 
ValueCountFrequency (%)
True674
52.8%
(Missing)602
47.2%
2022-05-07T18:31:58.202515image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Tyre_Pressure_Monitoring_System
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.3%
Missing936
Missing (%)73.4%
Memory size2.6 KiB
True
340 
(Missing)
936 
ValueCountFrequency (%)
True340
 
26.6%
(Missing)936
73.4%
2022-05-07T18:31:58.514943image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Rear_Center_Armrest
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)0.7%
Missing559
Missing (%)43.8%
Memory size10.1 KiB
Cup Holders
493 
Yes
197 
Audio Controls
 
13
Audio Controls, Cup Holders
 
11
Cup Holders, Audio Controls
 
3

Length

Max length27
Median length11
Mean length9.168758717
Min length3

Characters and Unicode

Total characters6574
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowYes
5th rowCup Holders

Common Values

ValueCountFrequency (%)
Cup Holders493
38.6%
Yes197
 
15.4%
Audio Controls13
 
1.0%
Audio Controls, Cup Holders11
 
0.9%
Cup Holders, Audio Controls3
 
0.2%
(Missing)559
43.8%

Length

2022-05-07T18:31:58.828658image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:31:59.252739image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
cup507
40.1%
holders507
40.1%
yes197
 
15.6%
audio27
 
2.1%
controls27
 
2.1%

Most occurring characters

ValueCountFrequency (%)
s731
11.1%
e704
10.7%
o588
8.9%
548
8.3%
d534
8.1%
r534
8.1%
u534
8.1%
C534
8.1%
l534
8.1%
H507
7.7%
Other values (7)826
12.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4747
72.2%
Uppercase Letter1265
 
19.2%
Space Separator548
 
8.3%
Other Punctuation14
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s731
15.4%
e704
14.8%
o588
12.4%
d534
11.2%
r534
11.2%
u534
11.2%
l534
11.2%
p507
10.7%
i27
 
0.6%
n27
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C534
42.2%
H507
40.1%
Y197
 
15.6%
A27
 
2.1%
Space Separator
ValueCountFrequency (%)
548
100.0%
Other Punctuation
ValueCountFrequency (%)
,14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6012
91.5%
Common562
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
s731
12.2%
e704
11.7%
o588
9.8%
d534
8.9%
r534
8.9%
u534
8.9%
C534
8.9%
l534
8.9%
H507
8.4%
p507
8.4%
Other values (5)305
5.1%
Common
ValueCountFrequency (%)
548
97.5%
,14
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII6574
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s731
11.1%
e704
10.7%
o588
8.9%
548
8.3%
d534
8.1%
r534
8.1%
u534
8.1%
C534
8.1%
l534
8.1%
H507
7.7%
Other values (7)826
12.6%

iPod_Compatibility
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing663
Missing (%)52.0%
Memory size2.6 KiB
True
613 
(Missing)
663 
ValueCountFrequency (%)
True613
48.0%
(Missing)663
52.0%
2022-05-07T18:31:59.584811image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

ESP_(Electronic_Stability_Program)
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing779
Missing (%)61.1%
Memory size2.6 KiB
True
497 
(Missing)
779 
ValueCountFrequency (%)
True497
38.9%
(Missing)779
61.1%
2022-05-07T18:31:59.895449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Cooled_Glove_Box
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing645
Missing (%)50.5%
Memory size2.6 KiB
True
631 
(Missing)
645 
ValueCountFrequency (%)
True631
49.5%
(Missing)645
50.5%
2022-05-07T18:32:00.267809image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Recommended_Tyre_Pressure
Categorical

HIGH CORRELATION
MISSING

Distinct2
Distinct (%)20.0%
Missing1266
Missing (%)99.2%
Memory size10.1 KiB
2.4 PSI
175/60R15 psi

Length

Max length13
Median length7
Mean length7.6
Min length7

Characters and Unicode

Total characters76
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)10.0%

Sample

1st row175/60R15 psi
2nd row2.4 PSI
3rd row2.4 PSI
4th row2.4 PSI
5th row2.4 PSI

Common Values

ValueCountFrequency (%)
2.4 PSI9
 
0.7%
175/60R15 psi1
 
0.1%
(Missing)1266
99.2%

Length

2022-05-07T18:32:00.631684image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:32:00.977567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
psi10
50.0%
2.49
45.0%
175/60r151
 
5.0%

Most occurring characters

ValueCountFrequency (%)
10
13.2%
29
11.8%
49
11.8%
P9
11.8%
S9
11.8%
I9
11.8%
.9
11.8%
12
 
2.6%
52
 
2.6%
R1
 
1.3%
Other values (7)7
9.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter28
36.8%
Decimal Number25
32.9%
Space Separator10
 
13.2%
Other Punctuation10
 
13.2%
Lowercase Letter3
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
29
36.0%
49
36.0%
12
 
8.0%
52
 
8.0%
71
 
4.0%
01
 
4.0%
61
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
P9
32.1%
S9
32.1%
I9
32.1%
R1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
s1
33.3%
p1
33.3%
i1
33.3%
Other Punctuation
ValueCountFrequency (%)
.9
90.0%
/1
 
10.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common45
59.2%
Latin31
40.8%

Most frequent character per script

Common
ValueCountFrequency (%)
10
22.2%
29
20.0%
49
20.0%
.9
20.0%
12
 
4.4%
52
 
4.4%
71
 
2.2%
01
 
2.2%
61
 
2.2%
/1
 
2.2%
Latin
ValueCountFrequency (%)
P9
29.0%
S9
29.0%
I9
29.0%
R1
 
3.2%
s1
 
3.2%
p1
 
3.2%
i1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII76
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
13.2%
29
11.8%
49
11.8%
P9
11.8%
S9
11.8%
I9
11.8%
.9
11.8%
12
 
2.6%
52
 
2.6%
R1
 
1.3%
Other values (7)7
9.2%

Heated_Seats
Categorical

HIGH CORRELATION
MISSING

Distinct4
Distinct (%)1.5%
Missing1010
Missing (%)79.2%
Memory size10.1 KiB
Only front
104 
Yes
86 
All
73 
Driver
 
3

Length

Max length10
Median length3
Mean length5.770676692
Min length3

Characters and Unicode

Total characters1535
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOnly front
2nd rowYes
3rd rowOnly front
4th rowOnly front
5th rowOnly front

Common Values

ValueCountFrequency (%)
Only front104
 
8.2%
Yes86
 
6.7%
All73
 
5.7%
Driver3
 
0.2%
(Missing)1010
79.2%

Length

2022-05-07T18:32:01.353695image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:32:01.759860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
only104
28.1%
front104
28.1%
yes86
23.2%
all73
19.7%
driver3
 
0.8%

Most occurring characters

ValueCountFrequency (%)
l250
16.3%
n208
13.6%
r110
7.2%
O104
6.8%
y104
6.8%
104
6.8%
f104
6.8%
o104
6.8%
t104
6.8%
e89
 
5.8%
Other values (6)254
16.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1165
75.9%
Uppercase Letter266
 
17.3%
Space Separator104
 
6.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l250
21.5%
n208
17.9%
r110
9.4%
y104
8.9%
f104
8.9%
o104
8.9%
t104
8.9%
e89
 
7.6%
s86
 
7.4%
i3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
O104
39.1%
Y86
32.3%
A73
27.4%
D3
 
1.1%
Space Separator
ValueCountFrequency (%)
104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1431
93.2%
Common104
 
6.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l250
17.5%
n208
14.5%
r110
7.7%
O104
7.3%
y104
7.3%
f104
7.3%
o104
7.3%
t104
7.3%
e89
 
6.2%
Y86
 
6.0%
Other values (5)168
11.7%
Common
ValueCountFrequency (%)
104
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1535
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l250
16.3%
n208
13.6%
r110
7.2%
O104
6.8%
y104
6.8%
104
6.8%
f104
6.8%
o104
6.8%
t104
6.8%
e89
 
5.8%
Other values (6)254
16.5%

Turbocharger
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing618
Missing (%)48.4%
Memory size2.6 KiB
True
658 
(Missing)
618 
ValueCountFrequency (%)
True658
51.6%
(Missing)618
48.4%
2022-05-07T18:32:02.090080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

ISOFIX_(Child-Seat_Mount)
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing666
Missing (%)52.2%
Memory size2.6 KiB
True
610 
(Missing)
666 
ValueCountFrequency (%)
True610
47.8%
(Missing)666
52.2%
2022-05-07T18:32:02.435967image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Rain_Sensing_Wipers
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing798
Missing (%)62.5%
Memory size2.6 KiB
True
478 
(Missing)
798 
ValueCountFrequency (%)
True478
37.5%
(Missing)798
62.5%
2022-05-07T18:32:02.795256image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Paddle_Shifters
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.3%
Missing972
Missing (%)76.2%
Memory size2.6 KiB
True
304 
(Missing)
972 
ValueCountFrequency (%)
True304
 
23.8%
(Missing)972
76.2%
2022-05-07T18:32:03.173832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Leather_Wrapped_Steering
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing689
Missing (%)54.0%
Memory size2.6 KiB
True
587 
(Missing)
689 
ValueCountFrequency (%)
True587
46.0%
(Missing)689
54.0%
2022-05-07T18:32:03.533976image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Automatic_Headlamps
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing774
Missing (%)60.7%
Memory size2.6 KiB
True
502 
(Missing)
774 
ValueCountFrequency (%)
True502
39.3%
(Missing)774
60.7%
2022-05-07T18:32:03.862038image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Engine_Type
Categorical

HIGH CORRELATION
MISSING

Distinct11
Distinct (%)32.4%
Missing1242
Missing (%)97.3%
Memory size10.1 KiB
Revotron 1.2 L, BS6 Engine
1.2 L Revotron (BS VI)
1.5L Turbocharged Revotorq (BS VI)
CRDi
M1 Category
Other values (6)
10 

Length

Max length145
Median length26
Mean length20.70588235
Min length4

Characters and Unicode

Total characters704
Distinct characters54
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)5.9%

Sample

1st row2.0 Diesel
2nd row2.0 Diesel
3rd rowRoller cam follower, continuous intake and exhaust camshaft adjustment, hydraulic valve-play compensation / 2/2 inlet/exhaust valves per cylinder
4th row1.2 L Revotron (BS VI)
5th row1.2 L Revotron (BS VI)

Common Values

ValueCountFrequency (%)
Revotron 1.2 L, BS6 Engine6
 
0.5%
1.2 L Revotron (BS VI)5
 
0.4%
1.5L Turbocharged Revotorq (BS VI)5
 
0.4%
CRDi5
 
0.4%
M1 Category3
 
0.2%
2.0 Diesel2
 
0.2%
D1802
 
0.2%
P 2502
 
0.2%
9G-TRONIC2
 
0.2%
Roller cam follower, continuous intake and exhaust camshaft adjustment, hydraulic valve-play compensation / 2/2 inlet/exhaust valves per cylinder1
 
0.1%
(Missing)1242
97.3%

Length

2022-05-07T18:32:04.269306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
revotron11
 
8.9%
l11
 
8.9%
1.211
 
8.9%
bs10
 
8.1%
vi10
 
8.1%
engine7
 
5.7%
bs66
 
4.9%
1.5l5
 
4.1%
turbocharged5
 
4.1%
revotorq5
 
4.1%
Other values (28)42
34.1%

Most occurring characters

ValueCountFrequency (%)
89
 
12.6%
o48
 
6.8%
e48
 
6.8%
r35
 
5.0%
n34
 
4.8%
t29
 
4.1%
R24
 
3.4%
121
 
3.0%
i21
 
3.0%
a21
 
3.0%
Other values (44)334
47.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter364
51.7%
Uppercase Letter138
 
19.6%
Space Separator89
 
12.6%
Decimal Number61
 
8.7%
Other Punctuation29
 
4.1%
Close Punctuation10
 
1.4%
Open Punctuation10
 
1.4%
Dash Punctuation3
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o48
13.2%
e48
13.2%
r35
9.6%
n34
9.3%
t29
 
8.0%
i21
 
5.8%
a21
 
5.8%
v20
 
5.5%
g15
 
4.1%
l12
 
3.3%
Other values (15)81
22.3%
Uppercase Letter
ValueCountFrequency (%)
R24
17.4%
B17
12.3%
S16
11.6%
L16
11.6%
I12
8.7%
V10
7.2%
C10
7.2%
D9
 
6.5%
T7
 
5.1%
E6
 
4.3%
Other values (5)11
8.0%
Decimal Number
ValueCountFrequency (%)
121
34.4%
217
27.9%
57
 
11.5%
66
 
9.8%
06
 
9.8%
82
 
3.3%
92
 
3.3%
Other Punctuation
ValueCountFrequency (%)
.18
62.1%
,8
27.6%
/3
 
10.3%
Space Separator
ValueCountFrequency (%)
89
100.0%
Close Punctuation
ValueCountFrequency (%)
)10
100.0%
Open Punctuation
ValueCountFrequency (%)
(10
100.0%
Dash Punctuation
ValueCountFrequency (%)
-3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin502
71.3%
Common202
28.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o48
 
9.6%
e48
 
9.6%
r35
 
7.0%
n34
 
6.8%
t29
 
5.8%
R24
 
4.8%
i21
 
4.2%
a21
 
4.2%
v20
 
4.0%
B17
 
3.4%
Other values (30)205
40.8%
Common
ValueCountFrequency (%)
89
44.1%
121
 
10.4%
.18
 
8.9%
217
 
8.4%
)10
 
5.0%
(10
 
5.0%
,8
 
4.0%
57
 
3.5%
66
 
3.0%
06
 
3.0%
Other values (4)10
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII704
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
 
12.6%
o48
 
6.8%
e48
 
6.8%
r35
 
5.0%
n34
 
4.8%
t29
 
4.1%
R24
 
3.4%
121
 
3.0%
i21
 
3.0%
a21
 
3.0%
Other values (44)334
47.4%

ASR_/_Traction_Control
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing834
Missing (%)65.4%
Memory size2.6 KiB
True
442 
(Missing)
834 
ValueCountFrequency (%)
True442
34.6%
(Missing)834
65.4%
2022-05-07T18:32:04.677723image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Cruise_Control
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing727
Missing (%)57.0%
Memory size2.6 KiB
True
549 
(Missing)
727 
ValueCountFrequency (%)
True549
43.0%
(Missing)727
57.0%
2022-05-07T18:32:05.033122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

USB_Ports
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)10.3%
Missing1247
Missing (%)97.7%
Memory size10.1 KiB
1.0
12 
2.0
11 
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters87
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row3.0
3rd row3.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.012
 
0.9%
2.011
 
0.9%
3.06
 
0.5%
(Missing)1247
97.7%

Length

2022-05-07T18:32:05.382859image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:32:05.791786image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.012
41.4%
2.011
37.9%
3.06
20.7%

Most occurring characters

ValueCountFrequency (%)
.29
33.3%
029
33.3%
112
13.8%
211
 
12.6%
36
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number58
66.7%
Other Punctuation29
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
029
50.0%
112
20.7%
211
 
19.0%
36
 
10.3%
Other Punctuation
ValueCountFrequency (%)
.29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common87
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
.29
33.3%
029
33.3%
112
13.8%
211
 
12.6%
36
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII87
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
.29
33.3%
029
33.3%
112
13.8%
211
 
12.6%
36
 
6.9%

Heads-Up_Display
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)2.0%
Missing1225
Missing (%)96.0%
Memory size2.6 KiB
True
 
51
(Missing)
1225 
ValueCountFrequency (%)
True51
 
4.0%
(Missing)1225
96.0%
2022-05-07T18:32:06.152842image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Welcome_Lights
Boolean

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.4%
Missing1207
Missing (%)94.6%
Memory size2.6 KiB
True
 
69
(Missing)
1207 
ValueCountFrequency (%)
True69
 
5.4%
(Missing)1207
94.6%
2022-05-07T18:32:06.527755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Battery
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)38.5%
Missing1263
Missing (%)99.0%
Memory size10.1 KiB
21.5 kWh,Battery Placed Under Rear Seats
200 ampere-hour
30.2 kWh* Advanced Li-ion polymer, liquid cooled battery pack with IP67 certification
210 ampere-hour
44.5 (kWh), Lithium Ion

Length

Max length85
Median length40
Mean length38.15384615
Min length15

Characters and Unicode

Total characters496
Distinct characters46
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row210 ampere-hour
2nd row210 ampere-hour
3rd row21.5 kWh,Battery Placed Under Rear Seats
4th row21.5 kWh,Battery Placed Under Rear Seats
5th row21.5 kWh,Battery Placed Under Rear Seats

Common Values

ValueCountFrequency (%)
21.5 kWh,Battery Placed Under Rear Seats3
 
0.2%
200 ampere-hour3
 
0.2%
30.2 kWh* Advanced Li-ion polymer, liquid cooled battery pack with IP67 certification3
 
0.2%
210 ampere-hour2
 
0.2%
44.5 (kWh), Lithium Ion2
 
0.2%
(Missing)1263
99.0%

Length

2022-05-07T18:32:06.873778image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:32:07.281924image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
ampere-hour5
 
6.9%
kwh5
 
6.9%
21.53
 
4.2%
kwh,battery3
 
4.2%
certification3
 
4.2%
ip673
 
4.2%
with3
 
4.2%
pack3
 
4.2%
battery3
 
4.2%
cooled3
 
4.2%
Other values (14)38
52.8%

Most occurring characters

ValueCountFrequency (%)
59
 
11.9%
e40
 
8.1%
a29
 
5.8%
i28
 
5.6%
r28
 
5.6%
t26
 
5.2%
o22
 
4.4%
c18
 
3.6%
h18
 
3.6%
d18
 
3.6%
Other values (36)210
42.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter322
64.9%
Space Separator59
 
11.9%
Decimal Number45
 
9.1%
Uppercase Letter39
 
7.9%
Other Punctuation19
 
3.8%
Dash Punctuation8
 
1.6%
Open Punctuation2
 
0.4%
Close Punctuation2
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e40
12.4%
a29
 
9.0%
i28
 
8.7%
r28
 
8.7%
t26
 
8.1%
o22
 
6.8%
c18
 
5.6%
h18
 
5.6%
d18
 
5.6%
n14
 
4.3%
Other values (12)81
25.2%
Uppercase Letter
ValueCountFrequency (%)
W8
20.5%
P6
15.4%
I5
12.8%
L5
12.8%
A3
 
7.7%
S3
 
7.7%
R3
 
7.7%
U3
 
7.7%
B3
 
7.7%
Decimal Number
ValueCountFrequency (%)
011
24.4%
211
24.4%
15
11.1%
55
11.1%
44
 
8.9%
63
 
6.7%
73
 
6.7%
33
 
6.7%
Other Punctuation
ValueCountFrequency (%)
,8
42.1%
.8
42.1%
*3
 
15.8%
Space Separator
ValueCountFrequency (%)
59
100.0%
Dash Punctuation
ValueCountFrequency (%)
-8
100.0%
Open Punctuation
ValueCountFrequency (%)
(2
100.0%
Close Punctuation
ValueCountFrequency (%)
)2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin361
72.8%
Common135
 
27.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e40
 
11.1%
a29
 
8.0%
i28
 
7.8%
r28
 
7.8%
t26
 
7.2%
o22
 
6.1%
c18
 
5.0%
h18
 
5.0%
d18
 
5.0%
n14
 
3.9%
Other values (21)120
33.2%
Common
ValueCountFrequency (%)
59
43.7%
011
 
8.1%
211
 
8.1%
,8
 
5.9%
.8
 
5.9%
-8
 
5.9%
15
 
3.7%
55
 
3.7%
44
 
3.0%
63
 
2.2%
Other values (5)13
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII496
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
 
11.9%
e40
 
8.1%
a29
 
5.8%
i28
 
5.6%
r28
 
5.6%
t26
 
5.2%
o22
 
4.4%
c18
 
3.6%
h18
 
3.6%
d18
 
3.6%
Other values (36)210
42.3%

Electric_Range
Categorical

HIGH CORRELATION
MISSING

Distinct8
Distinct (%)47.1%
Missing1259
Missing (%)98.7%
Memory size10.1 KiB
110 km/full charge
213 km/full charge
340 km/full charge
11.68 km/full charge
312 km/full charge
Other values (3)

Length

Max length20
Median length18
Mean length18.35294118
Min length18

Characters and Unicode

Total characters312
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)17.6%

Sample

1st row39.53 km/full charge
2nd row110 km/full charge
3rd row110 km/full charge
4th row213 km/full charge
5th row213 km/full charge

Common Values

ValueCountFrequency (%)
110 km/full charge5
 
0.4%
213 km/full charge3
 
0.2%
340 km/full charge2
 
0.2%
11.68 km/full charge2
 
0.2%
312 km/full charge2
 
0.2%
39.53 km/full charge1
 
0.1%
300 km/full charge1
 
0.1%
462 km/full charge1
 
0.1%
(Missing)1259
98.7%

Length

2022-05-07T18:32:07.689253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-07T18:32:08.157895image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
km/full17
33.3%
charge17
33.3%
1105
 
9.8%
2133
 
5.9%
3402
 
3.9%
11.682
 
3.9%
3122
 
3.9%
39.531
 
2.0%
3001
 
2.0%
4621
 
2.0%

Most occurring characters

ValueCountFrequency (%)
l34
 
10.9%
34
 
10.9%
119
 
6.1%
e17
 
5.4%
g17
 
5.4%
r17
 
5.4%
h17
 
5.4%
c17
 
5.4%
a17
 
5.4%
u17
 
5.4%
Other values (13)106
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter204
65.4%
Decimal Number54
 
17.3%
Space Separator34
 
10.9%
Other Punctuation20
 
6.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l34
16.7%
e17
8.3%
g17
8.3%
r17
8.3%
h17
8.3%
c17
8.3%
a17
8.3%
u17
8.3%
f17
8.3%
m17
8.3%
Decimal Number
ValueCountFrequency (%)
119
35.2%
310
18.5%
09
16.7%
26
 
11.1%
43
 
5.6%
63
 
5.6%
82
 
3.7%
91
 
1.9%
51
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/17
85.0%
.3
 
15.0%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin204
65.4%
Common108
34.6%

Most frequent character per script

Common
ValueCountFrequency (%)
34
31.5%
119
17.6%
/17
15.7%
310
 
9.3%
09
 
8.3%
26
 
5.6%
43
 
2.8%
.3
 
2.8%
63
 
2.8%
82
 
1.9%
Other values (2)2
 
1.9%
Latin
ValueCountFrequency (%)
l34
16.7%
e17
8.3%
g17
8.3%
r17
8.3%
h17
8.3%
c17
8.3%
a17
8.3%
u17
8.3%
f17
8.3%
m17
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l34
 
10.9%
34
 
10.9%
119
 
6.1%
e17
 
5.4%
g17
 
5.4%
r17
 
5.4%
h17
 
5.4%
c17
 
5.4%
a17
 
5.4%
u17
 
5.4%
Other values (13)106
34.0%

Interactions

2022-05-07T18:30:31.945898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:24.336626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:26.328055image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:28.162740image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:30.128588image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:32.317710image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:24.885222image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:26.692665image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:28.528053image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:30.478459image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:32.679158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:25.261319image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:27.064557image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:28.894776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:30.847039image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:33.044993image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:25.628464image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:27.428736image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:29.284919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:31.219814image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:33.415780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:25.982300image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:27.809225image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:29.761528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-07T18:30:31.594754image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

2022-05-07T18:32:08.569994image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-07T18:32:09.083056image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-07T18:32:09.573214image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-07T18:32:10.339512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-05-07T18:30:35.688677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-05-07T18:30:43.969159image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-05-07T18:30:55.528748image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

Unnamed: 0MakeModelVariantEx-Showroom_PriceDisplacementCylindersValves_Per_CylinderDrivetrainCylinder_ConfigurationEmission_NormEngine_LocationFuel_SystemFuel_Tank_CapacityFuel_TypeHeightLengthWidthBody_TypeDoorsCity_MileageHighway_MileageARAI_Certified_MileageARAI_Certified_Mileage_for_CNGKerb_WeightGearsGround_ClearanceFront_BrakesRear_BrakesFront_SuspensionRear_SuspensionFront_TrackRear_TrackFront_Tyre_&_RimRear_Tyre_&_RimPower_SteeringPower_WindowsPower_SeatsKeyless_EntryPowerTorqueOdometerSpeedometerTachometerTripmeterSeating_CapacitySeats_MaterialTypeWheelbaseWheels_SizeStart_/_Stop_Button12v_Power_OutletAudiosystemAux-in_CompatibilityAverage_Fuel_ConsumptionBasic_WarrantyBluetoothBoot-lid_OpenerBoot_SpaceCD_/_MP3_/_DVD_PlayerCentral_LockingChild_Safety_LocksClockCup_HoldersDistance_to_EmptyDoor_PocketsEngine_Malfunction_LightExtended_WarrantyFM_RadioFuel-lid_OpenerFuel_GaugeHandbrakeInstrument_ConsoleLow_Fuel_WarningMinimum_Turning_RadiusMultifunction_DisplaySun_VisorThird_Row_AC_VentsVentilation_SystemAuto-Dimming_Rear-View_MirrorHill_AssistGear_Indicator3_Point_Seat-Belt_in_Middle_Rear_SeatAmbient_LightningCargo/Boot_LightsDrive_ModesEngine_ImmobilizerHigh_Speed_Alert_SystemLane_Watch_Camera/_Side_Mirror_CameraPassenger_Side_Seat-Belt_ReminderSeat_Back_PocketsVoice_RecognitionWalk_Away_Auto_Car_LockABS_(Anti-lock_Braking_System)Headlight_ReminderAdjustable_HeadrestsGross_Vehicle_WeightAirbagsDoor_Ajar_WarningEBD_(Electronic_Brake-force_Distribution)Fasten_Seat_Belt_WarningGear_Shift_ReminderNumber_of_AirbagsCompression_RatioAdjustable_Steering_ColumnOther_SpecsOther_specsParking_AssistanceKey_Off_ReminderUSB_CompatibilityAndroid_AutoApple_CarPlayCigarette_LighterInfotainment_ScreenMultifunction_Steering_WheelAverage_SpeedEBA_(Electronic_Brake_Assist)Seat_Height_AdjustmentNavigation_SystemSecond_Row_AC_VentsTyre_Pressure_Monitoring_SystemRear_Center_ArmrestiPod_CompatibilityESP_(Electronic_Stability_Program)Cooled_Glove_BoxRecommended_Tyre_PressureHeated_SeatsTurbochargerISOFIX_(Child-Seat_Mount)Rain_Sensing_WipersPaddle_ShiftersLeather_Wrapped_SteeringAutomatic_HeadlampsEngine_TypeASR_/_Traction_ControlCruise_ControlUSB_PortsHeads-Up_DisplayWelcome_LightsBatteryElectric_Range
00TataNano GenxXtRs. 2,92,667624 cc2.02.0RWD (Rear Wheel Drive)In-lineBS IVRear, TransverseInjection24 litresPetrol1652 mm3164 mm1750 mmHatchback5.0?23.6 km/litreNaN23.6 km/litreNaN660 kg4180 mmDrumDrumIndependent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll barIndependent, Semi Trailing arm with coil spring & gas filled shock absorbers1325 mm1315 mm135/70R12155/65R12Electric PowerOnly Front WindowsNaNRemote38PS@5500rpm51Nm@4000rpmDigitalAnalogNot on offerYes4.0FabricManual2230 mm4 B X 12YesYesCD Player with USB & Aux-inYesYes2 years /75000 Kms (years/distance whichever comes first)YesInternal110 litresYesYesYesDigitalFrontYesFrontYes2 years /150000 Kms (years/distance whichever comes first)YesInternalDigitalManualAnalog + DigitalYes4 meterYesDriver & Front PassengerNot ApplicableManual Air conditioning with cooling and heatingNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11TataNano GenxXeRs. 2,36,447624 cc2.02.0RWD (Rear Wheel Drive)In-lineBS IVRear, TransverseInjection24 litresPetrol1652 mm3164 mm1750 mmHatchback5.0?23.6 km/litreNaN23.6 km/litreNaN725 kg4180 mmDrumDrumIndependent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll barIndependent, Semi Trailing arm with coil spring & gas filled shock absorbers1325 mm1315 mm135/70R12155/65R12NaNNaNNaNNaN38PS@5500rpm51Nm@4000rpmDigitalAnalogNot on offerYes4.0FabricManual2230 mm4 B X 12NaNYesNot on offerNaNYes2 years /75000 Kms (years/distance whichever comes first)NaNInternal110 litresNaNNaNYesDigitalFrontYesFrontYes2 years /150000 Kms (years/distance whichever comes first)NaNInternalDigitalManualAnalog + DigitalYes4 meterYesDriver & Front PassengerNot ApplicableNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
22TataNano GenxEmax XmRs. 2,96,661624 cc2.02.0RWD (Rear Wheel Drive)In-lineBS IVRear, TransverseInjection15 litresCNG1652 mm3164 mm1750 mmHatchback4.0NaNNaNNaN36 km/kg710 kg4180 mmDrumDrumIndependent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll barIndependent, Semi Trailing arm with coil spring & gas filled shock absorbers1325 mm1315 mm135/70R12155/65R12Electric PowerNaNNaNNaN38PS@5500rpm51Nm@4000rpmDigitalAnalogNot on offerYes4.0FabricManual2230 mm4 B X 12NaNYesNot on offerNaNYes2 years /75000 Kms (years/distance whichever comes first)NaNInternal110 litresNaNNaNYesDigitalFrontYesFrontYes2 years /150000 Kms (years/distance whichever comes first)NaNInternalDigitalManualAnalog + DigitalYes4 meterYesDriver & Front PassengerNot ApplicableAir Conditioning with cooling onlyYesYesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
33TataNano GenxXtaRs. 3,34,768624 cc2.02.0RWD (Rear Wheel Drive)In-lineBS IVRear, TransverseInjection24 litresPetrol1652 mm3164 mm1750 mmHatchback5.0?23.6 km/litreNaN21.9 km/litreNaN725 kg5180 mmDrumDrumIndependent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll barIndependent, Semi Trailing arm with coil spring & gas filled shock absorbers1325 mm1315 mm135/70R12155/65R12Electric PowerOnly Front WindowsNaNRemote38PS@5500rpm51Nm@4000rpmDigitalAnalogNot on offerYes4.0FabricAutomatic2230 mm4 B X 12YesYesCD Player with USB & Aux-inYesYes2 years /75000 Kms (years/distance whichever comes first)YesInternal94 litresYesYesYesDigitalFrontYesFrontYes2 years /150000 Kms (years/distance whichever comes first)YesInternalDigitalManualAnalog + DigitalYes4 meterYesDriver & Front PassengerNot ApplicableManual Air conditioning with cooling and heatingNaNNaNYesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
44TataNano GenxXmRs. 2,72,223624 cc2.02.0RWD (Rear Wheel Drive)In-lineBS IVRear, TransverseInjection24 litresPetrol1652 mm3164 mm1750 mmHatchback5.0?23.6 km/litreNaN23.6 km/litreNaN725 kg4180 mmDrumDrumIndependent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll barIndependent, Semi Trailing arm with coil spring & gas filled shock absorbers1325 mm1315 mm135/70R12155/65R12Electric PowerNaNNaNNaN38PS@5500rpm51Nm@4000rpmDigitalAnalogNot on offerYes4.0FabricManual2230 mm4 B X 12NaNYesNot on offerNaNYes2 years /75000 Kms (years/distance whichever comes first)NaNInternal110 litresNaNNaNYesDigitalFrontYesFrontYes2 years /150000 Kms (years/distance whichever comes first)NaNInternalDigitalManualAnalog + DigitalYes4 meterYesDriver & Front PassengerNot ApplicableAir Conditioning with cooling onlyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
55TataNano GenxXmaRs. 3,14,815624 cc2.02.0RWD (Rear Wheel Drive)In-lineBS IVRear, TransverseInjection24 litresPetrol1652 mm3164 mm1750 mmHatchback5.0?23.6 km/litreNaN21.9 km/litreNaN710 kg5180 mmDrumDrumIndependent, Lower Wishbone, McPherson Strut with gas filled dampers and anti-roll barIndependent, Semi Trailing arm with coil spring & gas filled shock absorbers1325 mm1315 mm135/70R12155/65R12Electric PowerNaNNaNNaN38PS@5500rpm51Nm@4000rpmDigitalAnalogNot on offerYes4.0FabricAutomatic2230 mm4 B X 12NaNYesNot on offerNaNYes2 years /75000 Kms (years/distance whichever comes first)NaNInternal94 litresNaNNaNYesDigitalNot on offerYesFrontYes2 years /150000 Kms (years/distance whichever comes first)NaNInternalDigitalManualAnalog + DigitalYes4 meterYesDriver & Front PassengerNot ApplicableAir Conditioning with cooling onlyNaNNaNYesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNYesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
66DatsunRedi-GoDRs. 2,79,650799 cc3.04.0FWD (Front Wheel Drive)In-lineBS IVFront, TransverseInjection28 litresPetrol1541 mm3429 mm1560 mmHatchback5.021.38 km/litre24 km/litre25.17 km/litreNaNNaN5185 mmVentilated DiscDrumDouble Pivot ArmH-type Torsion BeamNaNNaN80/155R1380/155R13NaNNaNNaNNaN54PS@5678rpm72Nm@4386rpmDigitalAnalogDigitalYes5.0FabricManual2348 mm80/155R13NaNYesNot on offerNaNYes2 years / Unlimited KmsNaNInternal222 litresNaNNaNYesNaNNot on offerYesNaNYes2 Years/Unlimited Kms (Whichever comes earlier)NaNInternalDigitalManualAnalog + DigitalYes4.7 meterYesDriver & Front PassengerNot ApplicableYesNaNNaNNaNNaNNaNNaNNaNYesNaNNaNNaNNaNNaNNaNYesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
77DatsunRedi-GoTRs. 3,51,832799 cc3.04.0FWD (Front Wheel Drive)In-lineBS IVFront, TransverseInjection28 litresPetrol1541 mm3429 mm1560 mmHatchback5.021.38 km/litre24 km/litre25.17 km/litreNaNNaN5185 mmVentilated DiscDrumDouble Pivot ArmH-type Torsion BeamNaNNaN80/155R1380/155R13Electric PowerOnly Front WindowsNaNNaN54PS@5678rpm72Nm@4386rpmDigitalAnalogDigitalYes5.0FabricManual2348 mm80/155R13NaNYesCD Player with USB & Aux-inYesYes2 years / Unlimited KmsNaNInternal222 litresYesYesYesNaNFrontYesFrontYes2 Years/Unlimited Kms (Whichever comes earlier)YesInternalDigitalManualAnalog + DigitalYes4.7 meterYesDriver & Front PassengerNot ApplicableManual Air conditioning with cooling and heatingNaNNaNNaNNaNNaNNaNNaNYesNaNNaNNaNNaNNaNNaNNaNYesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNYesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
88DatsunRedi-GoARs. 3,33,419799 cc3.04.0FWD (Front Wheel Drive)In-lineBS IVFront, TransverseInjection28 litresPetrol1541 mm3429 mm1560 mmHatchback5.021.38 km/litre24 km/litre25.17 km/litreNaNNaN5185 mmVentilated DiscDrumDouble Pivot ArmH-type Torsion BeamNaNNaN80/155R1380/155R13Electric PowerNaNNaNNaN54PS@5678rpm72Nm@4386rpmDigitalAnalogDigitalYes5.0FabricManual2348 mm80/155R13NaNYesNot on offerNaNYes2 years / Unlimited KmsNaNInternal222 litresNaNNaNYesNaNFrontYesFrontYes2 Years/Unlimited Kms (Whichever comes earlier)NaNInternalDigitalManualAnalog + DigitalYes4.7 meterYesDriver & Front PassengerNot ApplicableManual Air conditioning with cooling and heatingNaNNaNNaNNaNNaNNaNNaNYesNaNNaNNaNNaNNaNNaNNaNYesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
99DatsunRedi-GoSRs. 3,62,000799 cc3.04.0FWD (Front Wheel Drive)In-lineBS IVFront, TransverseInjection28 litresPetrol1541 mm3429 mm1560 mmHatchback5.021.38 km/litre24 km/litre25.17 km/litreNaNNaN5185 mmVentilated DiscDrumDouble Pivot ArmH-type Torsion BeamNaNNaN80/155R1380/155R13Electric PowerNaNNaNNaN54PS@5678rpm72Nm@4386rpmDigitalAnalogDigitalYes5.0FabricManual2348 mm80/155R13NaNYesCD Player with USB & Aux-inYesYes2 years / Unlimited KmsNaNWith Remote, Internal222 litresYesNaNYesNaNNot on offerYesNaNYes2 Years/Unlimited Kms (Whichever comes earlier)YesInternalDigitalManualAnalog + DigitalYes4.7 meterYesDriver & Front PassengerNot ApplicableManual Air conditioning with cooling and heatingNaNNaNNaNNaNNaNNaNNaNYesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNRear sensorsNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN

Last rows

Unnamed: 0MakeModelVariantEx-Showroom_PriceDisplacementCylindersValves_Per_CylinderDrivetrainCylinder_ConfigurationEmission_NormEngine_LocationFuel_SystemFuel_Tank_CapacityFuel_TypeHeightLengthWidthBody_TypeDoorsCity_MileageHighway_MileageARAI_Certified_MileageARAI_Certified_Mileage_for_CNGKerb_WeightGearsGround_ClearanceFront_BrakesRear_BrakesFront_SuspensionRear_SuspensionFront_TrackRear_TrackFront_Tyre_&_RimRear_Tyre_&_RimPower_SteeringPower_WindowsPower_SeatsKeyless_EntryPowerTorqueOdometerSpeedometerTachometerTripmeterSeating_CapacitySeats_MaterialTypeWheelbaseWheels_SizeStart_/_Stop_Button12v_Power_OutletAudiosystemAux-in_CompatibilityAverage_Fuel_ConsumptionBasic_WarrantyBluetoothBoot-lid_OpenerBoot_SpaceCD_/_MP3_/_DVD_PlayerCentral_LockingChild_Safety_LocksClockCup_HoldersDistance_to_EmptyDoor_PocketsEngine_Malfunction_LightExtended_WarrantyFM_RadioFuel-lid_OpenerFuel_GaugeHandbrakeInstrument_ConsoleLow_Fuel_WarningMinimum_Turning_RadiusMultifunction_DisplaySun_VisorThird_Row_AC_VentsVentilation_SystemAuto-Dimming_Rear-View_MirrorHill_AssistGear_Indicator3_Point_Seat-Belt_in_Middle_Rear_SeatAmbient_LightningCargo/Boot_LightsDrive_ModesEngine_ImmobilizerHigh_Speed_Alert_SystemLane_Watch_Camera/_Side_Mirror_CameraPassenger_Side_Seat-Belt_ReminderSeat_Back_PocketsVoice_RecognitionWalk_Away_Auto_Car_LockABS_(Anti-lock_Braking_System)Headlight_ReminderAdjustable_HeadrestsGross_Vehicle_WeightAirbagsDoor_Ajar_WarningEBD_(Electronic_Brake-force_Distribution)Fasten_Seat_Belt_WarningGear_Shift_ReminderNumber_of_AirbagsCompression_RatioAdjustable_Steering_ColumnOther_SpecsOther_specsParking_AssistanceKey_Off_ReminderUSB_CompatibilityAndroid_AutoApple_CarPlayCigarette_LighterInfotainment_ScreenMultifunction_Steering_WheelAverage_SpeedEBA_(Electronic_Brake_Assist)Seat_Height_AdjustmentNavigation_SystemSecond_Row_AC_VentsTyre_Pressure_Monitoring_SystemRear_Center_ArmrestiPod_CompatibilityESP_(Electronic_Stability_Program)Cooled_Glove_BoxRecommended_Tyre_PressureHeated_SeatsTurbochargerISOFIX_(Child-Seat_Mount)Rain_Sensing_WipersPaddle_ShiftersLeather_Wrapped_SteeringAutomatic_HeadlampsEngine_TypeASR_/_Traction_ControlCruise_ControlUSB_PortsHeads-Up_DisplayWelcome_LightsBatteryElectric_Range
12661266HondaCityV Mt PetrolRs. 10,65,9001497 cc4.04.0FWD (Front Wheel Drive)In-lineBS 6Front, TransverseInjection40 litresPetrol1495 mm4440 mm1695 mmSedan4.014.3 km/litre16.4 km/litre17.8 km/litreNaN1061 kg5165 mmVentilated DiscDrumMcPherson Strut, Coil SpringTorsion Beam Axle, Coil Spring1490 mm1480 mm175/65R15175/65R15Electric PowerAll WindowsNaNRemote119PS@6600rpm145Nm@4600rpmDigitalAnalogAnalog25.0FabricManual2600 mm175/65R15Yes3CD Player with USB & Aux-inYesYes2 Years / 40,000 Kms (Whichever comes earlier)YesInternal510 litresYesYesYesDigitalFront & RearYesFront & RearYes1 years /20000 Kms (years/distance whichever comes first)YesInternalDigitalManualAnalog + DigitalYes5.3 meterYesDriver & Front PassengerNot ApplicableFully automatic climate controlYesNaNNaNNaNNaNNaNNaNYesYesNaNYesYesNaNNaNYesYesFront Row1436 kgDriver frontal airbag, Front passenger frontal airbagYesYesYesNaN2.010.4:1RakeNaNNaNFront and rear sensors with cameraYesYesNaNNaNYesTouch SensitiveMultifunction Steering WheelYesNaNManual AdjustmentYesYesNaNCup HoldersYesNaNNaNNaNNaNNaNYesNaNNaNNaNNaNNaNNaNYesNaNNaNNaNNaNNaN
12671267HondaCityVx Mt PetrolRs. 11,82,0001497 cc4.04.0FWD (Front Wheel Drive)In-lineBS 6Front, TransverseInjection40 litresPetrol1495 mm4440 mm1695 mmSedan4.014.3 km/litre16.1 km/litre17.4 km/litreNaN1084 kg5165 mmVentilated DiscDrumMcPherson Strut, Coil SpringTorsion Beam Axle, Coil Spring1475 mm1465 mm185/55R16185/55R16Electric PowerAll WindowsNaNSmart Key119PS@6600rpm145Nm@4600rpmDigitalAnalogAnalog25.0LeatherManual2600 mm185/55R16Yes3DVD Player with USB & Aux-inYesYes2 Years / 40,000 Kms (Whichever comes earlier)YesInternal, With Remote510 litresYesYesYesDigitalFront & RearYesFront & RearYes1 years /20000 Kms (years/distance whichever comes first)YesInternalDigitalManualAnalog + DigitalYes5.3 meterYesDriver & Front PassengerNot ApplicableFully automatic climate controlYesNaNNaNNaNNaNNaNNaNYesYesNaNYesYesNaNNaNYesYesFront Row1459 kgDriver frontal airbag, Front passenger frontal airbagYesYesYesNaN2.010.4:1RakeNaNNaNFront and rear sensors with cameraYesYesNaNNaNYesTouch SensitiveMultifunction Steering WheelYesNaNManual AdjustmentYesYesNaNCup HoldersYesNaNNaNNaNNaNNaNNaNNaNNaNYesNaNNaNNaNYesNaNNaNNaNNaNNaN
12681268HondaCityVx Cvt PetrolRs. 13,12,0001497 cc4.04.0FWD (Front Wheel Drive)In-lineBS 6Front, TransverseInjection40 litresPetrol1495 mm4440 mm1695 mmSedan4.014.3 km/litre16.1 km/litre18 km/litreNaN1100 kg5165 mmVentilated DiscDrumMcPherson Strut, Coil SpringTorsion Beam Axle,Coil Spring1475 mm1465 mm185/55R16185/55R16Electric PowerAll WindowsNaNSmart Key119PS@6600rpm145Nm@4600rpmDigitalAnalogAnalog25.0LeatherAutomatic2600 mm185/55R16Yes3CD/MP3/DVD Player with USB & Aux-inYesYes2 Years / 40,000 Kms (Whichever comes earlier)YesWith Remote, Internal510 litresYesYesYesDigitalFront & RearYesFront & RearYes1 years /20000 Kms (years/distance whichever comes first)YesInternalDigitalManualAnalog + DigitalYes5.3 meterYesDriver & Front PassengerNot ApplicableFully automatic climate controlYesNaNYesNaNNaNNaNNaNYesYesNaNYesYesNaNNaNYesYesFront Row1475 kgDriver frontal airbag, Front passenger frontal airbagYesYesYesYes2.010.4:1RakeNaNNaNFront and rear sensors with cameraYesYesNaNNaNYesTouch SensitiveMultifunction Steering WheelNaNNaNManual AdjustmentYesYesNaNCup HoldersYesNaNNaNNaNNaNNaNYesNaNYesYesNaNNaNNaNYesNaNNaNNaNNaNNaN
12691269HondaCitySv Mt DieselRs. 11,11,0001498 cc4.04.0FWD (Front Wheel Drive)In-lineBS IVFront, TransverseInjection40 litresDiesel1495 mm4440 mm1695 mmSedan4.022.6 km/litre25.6 km/litre25.6 km/litreNaN1147 kg6165 mmVentilated DiscDrumMcPherson Strut, Coil SpringTorsion Beam Axle, Coil Spring1490 mm1480 mm175/65R15175/65R15Electric PowerAll WindowsNaNRemote100PS@3600rpm200Nm@1750rpmDigitalAnalogAnalog25.0FabricManual2600 mm175/65R15NaN1USB & Aux-inYesYes2 Years / 40,000 Kms (Whichever comes earlier)YesInternal510 litresYesYesYesDigitalFront & RearYesFront & RearYes1 years /20000 Kms (years/distance whichever comes first)YesInternalDigitalManualAnalog + DigitalYes5.3 meterYesDriver & Front PassengerNot ApplicableFully automatic climate controlYesNaNNaNNaNNaNNaNNaNYesYesNaNYesNaNNaNNaNYesYesFront Row1522 kgDriver frontal airbag, Front passenger frontal airbagYesYesYesNaN2.010.4:1RakeNaNNaNNaNYesYesNaNNaNNaNNaNMultifunction Steering WheelYesNaNManual AdjustmentNaNYesNaNCup HoldersYesNaNNaNNaNNaNYesYesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
12701270HondaCityV Mt DieselRs. 11,91,0001498 cc4.04.0FWD (Front Wheel Drive)In-lineBS IVFront, TransverseInjection40 litresDiesel1495 mm4440 mm1695 mmSedan4.022.6 km/litre25.6 km/litre25.6 km/litreNaN1148 kg6165 mmVentilated DiscDrumMcPherson Strut, Coil SpringTorsion Beam Axle, Coil Spring1490 mm1480 mm175/65R15175/65R15Electric PowerAll WindowsNaNRemote100PS@3600rpm200Nm@1750rpmDigitalAnalogAnalog25.0FabricManual2600 mm175/65R15Yes3CD Player with USB & Aux-inYesYes2 Years / 40,000 Kms (Whichever comes earlier)YesInternal510 litresYesYesYesDigitalFront & RearYesFront & RearYes1 years /20000 Kms (years/distance whichever comes first)YesInternalDigitalManualAnalog + DigitalYes5.3 meterYesDriver & Front PassengerNot ApplicableFully automatic climate controlYesNaNNaNNaNNaNNaNNaNYesYesNaNYesNaNNaNNaNYesYesFront Row1523 kgDriver frontal airbag, Front passenger frontal airbagYesYesYesNaN2.010.4:1RakeNaNNaNFront and rear sensors with cameraYesYesNaNNaNYesTouch SensitiveMultifunction Steering WheelYesNaNManual AdjustmentYesYesNaNCup HoldersYesNaNNaNNaNNaNYesYesNaNNaNNaNNaNNaNNaNYesNaNNaNNaNNaNNaN
12711271HondaCityVx Mt DieselRs. 13,02,0001498 cc4.04.0FWD (Front Wheel Drive)In-lineBS IVFront, TransverseInjection40 litresDiesel1495 mm4440 mm1695 mmSedan4.022.6 km/litre25.1 km/litre25.1 km/litreNaN1170 kg6165 mmVentilated DiscDrumMcPherson Strut, Coil SpringTorsion Beam Axle, Coil Spring1475 mm1465 mm185/55R16185/55R16Electric PowerAll WindowsNaNSmart Key100PS@3600rpm200Nm@1750rpmDigitalAnalogAnalog25.0LeatherManual2600 mm185/55R16Yes3DVD Player with USB & Aux-inYesYes2 Years / 40,000 Kms (Whichever comes earlier)YesInternal, With Remote510 litresYesYesYesDigitalFront & RearYesFront & RearYesNaNYesInternalDigitalManualAnalog + DigitalYes5.3 meterYesDriver & Front PassengerNot ApplicableFully automatic climate controlYesNaNNaNNaNNaNNaNNaNYesYesNaNYesYesNaNNaNYesYesFront Row1545 kgDriver frontal airbag, Front passenger frontal airbagYesYesYesNaN2.010.4:1RakeNaNNaNFront and rear sensors with cameraYesYesNaNNaNYesTouch SensitiveMultifunction Steering WheelYesNaNManual AdjustmentYesYesNaNCup HoldersYesNaNNaNNaNNaNYesYesNaNNaNYesNaNNaNNaNYesNaNNaNNaNNaNNaN
12721272HondaCityZx Mt DieselRs. 14,21,0001498 cc4.04.0FWD (Front Wheel Drive)In-lineBS IVFront, TransverseInjection40 litresDiesel1495 mm4440 mm1695 mmSedan4.022.6 km/litre25.1 km/litre25.1 km/litreNaN1175 kg6165 mmVentilated DiscDrumMcPherson Strut, Coil SpringTorsion Beam Axle, Coil Spring1475 mm1465 mm185/55R16185/55R16Electric PowerAll WindowsNaNSmart Key100PS@3600rpm200Nm@1750rpmDigitalAnalogAnalog25.0LeatherManual2600 mm185/55R16Yes3DVD Player with USB & Aux-inYesYes2 Years / 40,000 Kms (Whichever comes earlier)YesWith Remote, Internal510 litresYesYesYesDigitalFront & RearYesFront & RearYes1 years /20000 Kms (years/distance whichever comes first)YesInternalDigitalManualAnalog + DigitalYes5.3 meterYesDriver & Front PassengerNot ApplicableFully automatic climate controlYesNaNNaNNaNNaNNaNNaNYesYesNaNYesYesNaNNaNYesYesFront Row1550 kgDrive side airbag, Curtain airbags, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbagYesYesYesNaN6.010.4:1RakeNaNNaNRear sensors with cameraYesYesNaNNaNYesTouch SensitiveMultifunction Steering WheelYesNaNManual AdjustmentYesYesNaNCup HoldersYesNaNYesNaNNaNYesYesYesNaNYesYesNaNNaNYesNaNNaNNaNNaNNaN
12731273HondaCityZx Cvt PetrolRs. 14,31,0001497 cc4.04.0FWD (Front Wheel Drive)In-lineBS 6Front, TransverseInjection40 litresPetrol1495 mm4440 mm1695 mmSedan4.018 km/litre18 km/litre22.6 km/litreNaN1107 kg5165 mmVentilated DiscDrumMcPherson strut,coil springTorsion Beam Axle, Coil Spring1475 mm1465 mm185/55R16185/55R16Electric PowerAll WindowsNaNSmart Key119PS@6600rpm145Nm@4600rpmDigitalAnalogAnalog25.0LeatherAutomatic2600 mm185/55R16Yes3DVD Player with USB & Aux-inYesYes2 Years / 40,000 Kms (Whichever comes earlier)YesInternal, With Remote510 litresYesYesYesDigitalFront & RearYesFront & RearYes1 years /20000 Kms (years/distance whichever comes first)YesInternalDigitalManualAnalog + DigitalYes5.3 meterYesDriver & Front PassengerNot ApplicableFully automatic climate controlYesNaNNaNNaNNaNNaNNaNYesYesNaNYesYesNaNNaNYesYesFront Row1482 kgCurtain airbags, Driver frontal airbag, Front passenger frontal airbag, Front passenger side airbag, Drive side airbagYesYesYesNaN6.010.4:1RakeNaNNaNRear sensors with cameraYesYesNaNNaNNaNTouch SensitiveMultifunction Steering WheelYesNaNManual AdjustmentYesYesNaNCup HoldersYesNaNNaNNaNNaNNaNYesNaNYesYesYesNaNNaNYesNaNNaNNaNNaNNaN
12741274HondaCityV Cvt PetrolRs. 12,01,0001497 cc4.04.0FWD (Front Wheel Drive)In-lineBS 6Front, TransverseInjection40 litresPetrol1495 mm4440 mm1695 mmSedan4.014.3 km/litre16.4 km/litre17.8 km/litreNaN1080 kg5165 mmVentilated DiscDrumMcPherson Strut, Coil SpringTorsion Beam Axle, Coil Spring1490 mm1480 mm175/65R15175/65R15Electric PowerAll WindowsNaNRemote119PS@6600rpm145Nm@4600rpmDigitalAnalogAnalog25.0FabricAutomatic2600 mm175/65R15NaN3CD Player with USB & Aux-inYesYes2 Years / 40,000 Kms (Whichever comes earlier)YesInternal510 litresYesYesYesDigitalFront & RearYesFront & RearYes1 years /20000 Kms (years/distance whichever comes first)YesInternalDigitalManualAnalog + DigitalYes5.3 meterYesDriver & Front PassengerNot ApplicableFully automatic climate controlYesNaNNaNNaNNaNNaNNaNYesYesNaNYesNaNNaNNaNYesYesFront Row1455 kgDriver frontal airbag, Front passenger frontal airbagYesYesYesNaN2.010.4:1RakeNaNNaNFront and rear sensors with cameraYesYesNaNNaNNaNTouch SensitiveMultifunction Steering WheelYesNaNManual AdjustmentYesYesNaNCup HoldersYesNaNNaNNaNNaNNaNYesNaNYesNaNNaNNaNNaNYesNaNNaNNaNNaNNaN
12751275MitsubishiMontero3.2 AtRs. 68,62,5603200 cc4.04.0AWD (All Wheel Drive)In-lineBS IVFront, LongitudinalInjection88 litresDiesel1900 mm4900 mm1875 mmSUV5.08.25 km/litre11.56 km/litre11.56 km/litreNaN2335 kg5235 mmVentilated DiscVentilated DiscDouble wishbone coil springs with stabilizer barMulti-link coil springs with stabilizer bar1560 mm1560 mm265/65R18265/65R18Electric PowerAll WindowsYesYes202ps@3800rpm441Nm@2000rpmAnalogAnalog, DigitalAnalogYes7.0LeatherAutomatic2780 mm18YesYesCD Player with USB & Aux-inYesYesNaNYesInternal1050 litresYesYesYesDigitalCentreYesYesYesNaNYesInternalAnalogManualAnalogYes5.7 meterYesDriver & Front PassengerYesFully automatic climate controlNaNYesYesNaNNaNNaNNaNYesNaNNaNNaNYesNaNNaNYesYesAll Rows3110 kgDriver frontal airbag, Front passenger frontal airbag, Front passenger side airbag, Drive side airbag, Curtain airbagsYesYesYesYes6.0NaNRake, ReachNaNAir Conditioner : StandardRear sensors with cameraYesYesNaNNaNYesTouch SensitiveMultifunction Steering WheelYesYesElectric AdjustmentYesYesNaNCup HoldersYesYesYesNaNOnly frontYesYesYesNaNYesNaNNaNYesYesNaNNaNNaNNaNNaN